Two Overeaters Anonymous Meetings Saturdays 9:45am & 11am

There are Overeaters Anonymous meetings at CPMC Davies every Saturday at 9:45 am & 11 am Level B, Conf Rm B1 Compulsive overeaters, ...

from Google Alert - anonymous http://ift.tt/21G5hwl
via IFTTT

Anonymous 4

Description, Anonymous 4 takes its final bows as a quartet, presenting an anthology of their most beloved songs. From their earliest program, ...

from Google Alert - anonymous http://ift.tt/1OGIKKR
via IFTTT

Zeroholics Anonymous (ZA) - A Support Group

Jim: "Hello, my name is Jim, and I'm a Zeroholic." ZA Support Group: "Hi, Jim." Jim: "My addiction started when a well-meaning Raspberry Pi ...

from Google Alert - anonymous http://ift.tt/1NygitA
via IFTTT

Anonymous

... Year Entering College: 0; State of Residence: 0. Academic Background. Selectivity Index™: 46. Anonymous has not listed any extracurriculars.

from Google Alert - anonymous http://ift.tt/1li1zJ1
via IFTTT

Serious, Yet Patched Flaw Exposes 6.1 Million IoT, Mobile Devices to Remote Code Execution

As much as you protect your electronics from being hacked, hackers are clever enough at finding new ways to get into your devices. But, you would hope that once a flaw discovered it would at least be fixed in few days or weeks, but that's not always the case. A three-year-old security vulnerability within a software component used by more than 6.1 Million smart devices still remains

from The Hacker News http://ift.tt/1R0Hkft
via IFTTT

Meet The Team Behind DARK KNIGHT III: THE MASTER RACE At Midtown Comics Downtown ...

... New York on December 19. Meet The Team Behind DARK KNIGHT III: THE MASTER RACE At... By Anonymous Friday, December 4th, 2015.

from Google Alert - anonymous http://ift.tt/1YPAlr7
via IFTTT

Silk Road Mentor 'Variety Jones' Arrested in Thailand

The man accused of being "a senior advisor" and mentor of Ross Ulbricht, the convicted operator of the illegal drug marketplace Silk Road, has been arrested in Thailand and charged with conspiring to traffic drugs and money laundering. The US Department of Justice (DoJ) announced on Friday that Roger Thomas Clark, 54, is accused of being "Variety Jones," who was a close confidante of Ulbricht's

from The Hacker News http://ift.tt/1Q6tM20
via IFTTT

Cygnus: Bubble and Crescent

These clouds of gas and dust drift through rich star fields along the plane of our Milky Way Galaxy toward the high flying constellation Cygnus. Caught within the telescopic field of view are the Soap Bubble (lower left) and the Crescent Nebula (upper right). Both were formed at a final phase in the life of a star. Also known as NGC 6888, the Crescent was shaped as its bright, central massive Wolf-Rayet star, WR 136, shed its outer envelope in a strong stellar wind. Burning through fuel at a prodigious rate, WR 136 is near the end of a short life that should finish in a spectacular supernova explosion. recently discovered Soap Bubble Nebula is likely a planetary nebula, the final shroud of a lower mass, long-lived, sun-like star destined to become a slowly cooling white dwarf. While both are some 5,000 light-years or so distant, the larger Crescent Nebula is around 25 light-years across. via NASA http://ift.tt/1NuTaMH

Slideshow not working for anonymous users

The slideshow does not work when visiting the home page as an anonymous user. The slider buttons do not work either.

from Google Alert - anonymous http://ift.tt/1NxwOpk
via IFTTT

Anonymous Leaks Paris Climate Summit Officials' Private Data

Anonymous, the hacktivist movement, hacked the website of the summit organisers, the UN Framework Convention on Climate Change (UNFCCC), ...

from Google Alert - anonymous http://ift.tt/1PG9Hj8
via IFTTT

[FD] KL-001-2015-006 : Linksys EA6100 Wireless Router Authentication Bypass

-----BEGIN PGP SIGNED MESSAGE-

Source: Gmail -> IFTTT-> Blogger

Mini candles, should be a great cross project build

via Instagram http://ift.tt/1m1J4bF

And the Title of "Most Vulnerable Programming Language of Year 2015" Goes to...

A new research showed that Scripting languages, in general, give birth to more security vulnerabilities in web applications, which raised concerns over potential security bugs in millions of websites. The app security firm Veracode has released its State of Software Security: Focus on Application Development report (PDF), analyzing more than 200,000 separate applications from October 1,

from The Hacker News http://ift.tt/1leOz6Z
via IFTTT

ISS Daily Summary Report – 12/3/15

Orbital ATK (OA)-4 Launch Attempt:  Today’s planned launch of OA-4 from Cape Canaveral, Florida was scrubbed due to weather.  The next attempt will be tomorrow (Friday 12/4) at 4:33 pm Central time.  The Enhanced Cygnus spacecraft will be launched atop a United Launch Alliance Atlas V Rocket and will be delivering approximately 3,500 kg of pressurized cargo to the ISS.  Tomorrow’s launch sets the stage for ISS rendezvous and capture on Monday, December 7th.   Portable Computer System (PCS) Relocation:  Lindgren relocated a JEM Pressurized Module (JPM) PCS and cables to the LAB in preparation for OA-4 capture on Sunday.  The PCS will provide command redundancy during OA-4 capture operations.   Cardio Ox:  Lindgren, with assistance from Kelly, collected blood pressure and ultrasound measurements of his carotid and brachial arteries for this Return minus 14 Day (R-30) Cardio Ox session.  The objective of Cardio Ox is to determine whether biological markers of oxidative and inflammatory stress are elevated during and after space flight and whether this results in an increased, long-term risk of atherosclerosis in astronauts. Twelve crewmembers will provide blood and urine samples to assess biomarkers before launch, 15 and 60 days after launch, 15 days before returning to Earth, and within days after landing. Ultrasound scans are obtained at the same time points and through 5 years after landing.   Cognition:  Lindgren performed his Return minus 10 Day session of the Cognition experiment today.  The Individualized Real-Time Neurocognitive Assessment Toolkit for Space Flight Fatigue (Cognition) investigation is a battery of tests that measure how spaceflight-related physical changes, such as microgravity and lack of sleep, can affect cognitive performance. Cognition includes ten brief computerized tests that cover a wide range of cognitive functions, and provides immediate feedback on current and past test results. The software used allows for real-time measurement of cognitive performance while in space.   Ocular Health Ocular and Cardiac Ultrasounds:  Yui and Lindgren took ocular and cardiac ultrasounds as part of their series of Flight Day 120 Ocular Health tests.   The ultrasound images will be used to identify changes in globe morphology and document optic nerve sheath diameter, optic nerve sheath tortuosity, globe axial measurements, and choroidal engorgement. The Ocular Health protocol calls for a systematic gathering of physiological data to characterize the risks of microgravity-induced visual impairment and increased intracranial pressure in ISS crewmembers. Researchers believe that the measurement of visual, vascular and central nervous system changes over the course of this experiment and during the subsequent post-flight recovery will assist in the development of countermeasures, clinical monitoring strategies, and clinical practice guidelines.   Twins Study:  In support of the Twins Study, Kelly completed another Flight Day 240 saliva collection, stowing samples in a Minus Eighty Degree Celsius Laboratory Freezer for ISS (MELFI).  This investigation is an integrated compilation of ten different studies led by multiple investigators.  The studies take advantage of a unique opportunity to look at the effects of space travel on identical twins, with one of them experiencing space travel for a year while the other remains earth-bound for that same year.  The study looks at changes in the human body that are important in the fields of genetics, psychology, physiology, microbiology, and immunology.   Sleep Log:  Kelly recorded a Sleep Log entry today after waking.  The Sleep ISS-12 experiment monitors ambient light exposure and crew member activity and collects subjective evaluations of sleep and alertness.  The investigation examines the effects of space flight and ambient light exposure on sleep during a year-long mission on the ISS.   Journals:  Kelly completed a Journals entry and a mid-mission questionnaire today. The Journals investigation obtains information on behavioral and human issues that are relevant to the design of equipment and procedures used during astronauts during extended-duration missions. Study results provide information used in preparation for future missions to low-Earth orbit and beyond.   Space Headaches:  Lindgren completed his weekly Space Headaches questionnaires today.  Headaches can be a common complaint during spaceflight. The Space Headaches experiment will provide information that may help in the development of methods to alleviate associated symptoms and improvement in the well-being and performance of crew members in space.   43 Soyuz (43S) Nominal Descent Drill:  Yui and Kononenko participated in a nominal Soyuz Decent Drill.  As part of this training they reviewed preliminary undocking and descent data, then worked through the descent timeline (from Soyuz activation through post-landing activities).  The 43S Crew is scheduled to return to earth on December 11th.   Crew Departure Preparation:  Yui continued to pack his personal items in preparation for his crews return to earth onboard 43S. The items will be returning to earth by way of 43S, SpaceX-8, and SpaceX-9 vehicles.   Water Sample Analysis:  As a follow up to water samples obtained earlier this week, Kelly visually analyzed Coliform Detection Bags and Microbial Capture Devices after 48 hours of incubation.  Samples were then prepared for return onboard 43S.   Today’s Planned Activities All activities were completed unless otherwise noted. TWIN – Sample Collection HRF – Sample Collection and Prep for Stowage HRF – Sample MELFI Insertion HRF – Sample collection and stowage HRF – Sample MELFI Insertion HRF Urine Sample Collection HRF – Sample MELFI Insertion HRF – Blood Sample collection operator assistance USND2 – Hardware activation HRF Refrigerated Centrifuge Configuration Cleaning Nikon camera Charge-Coupled Device (CCD) Digital Image Sensor СОЖ Maintenance Soyuz 717 Pre-pack Ops USND2 – Hard Drive Cleaning Crew Discretionary Conference Eye Imaging (Ocular Health) HRF – Blood Sample Collection Closeout Ops HRF – MELFI Sample Insertion Routine Maintenance of [КН], [КВ] and КД Valves in SM Rodnik Tanks Life On The Station Photo and Video MOTOCARD. Experiment Ops BIOME – Survey Questionnaire Completion CARDOX – Setup Ops MOTOCARD. Operator Assistance with the Experiment Soyuz 717 Packing with Hardware for Disposal CARDOX – Scanning Preparing for ЛКЦ2Б14 Device (БИТС2-12 system) Replacement HRF Urine Sample Collection ECLSS Recycle Tank Remove and Replace Crew Departure Prep HRF – Sample MELFI Insertion HRF – Equipment Stowage HRF Closeout Ops Progress 428 (DC1) […]

from ISS On-Orbit Status Report http://ift.tt/1Itr9Vj
via IFTTT

How to Run Multiple Android apps on Windows and Mac OS X Simultaneously

Bluestacks, the first app player for running Android apps on Windows, has launched the latest version of its Android emulator platform with one major upgrade: The Ability to Run Multiple Android apps Simultaneously. BlueStacks 2 Released Bluestacks previously only run a single app at a time. However, with the launch of BlueStacks 2, the app adds a tabbed interface that allows you

from The Hacker News http://ift.tt/1IIojXp
via IFTTT

report on the publication of administrative penalties on an anonymous basis

Review of the publication of sanctions on an anonymous basis. 3. 2.1.1 General findings. 3. 2.1.2 Specific findings. 5. Summary table of findings. 6 ...

from Google Alert - anonymous http://ift.tt/1lB94Kq
via IFTTT

Kazakhstan makes it Mandatory for its Citizens to Install Internet Backdoor

Next in the queue, Kazakhstan is also planning to Spy on encrypted Internet Traffic of its citizens, but in the most shameless way. Unlike other spying nations that are themselves capable of spying on their citizens, Kazakhstan will force every internet user in the country to install bogus security certs on their PCs and mobile devices, allowing the 'Dictator' Government to: Intercept

from The Hacker News http://ift.tt/1OKuu1A
via IFTTT

Separate closures for anonymous functions with distinct capture lists.

As shown here, C# and VB compilers create one closure per scope, no matter how many anonymous functions there are and what their (non-empty) ...

from Google Alert - anonymous http://ift.tt/1RrRBAC
via IFTTT

ALERT: This New Ransomware Steals Passwords Before Encrypting Files

You should be very careful while visiting websites on the Internet because you could be hit by a new upgrade to the World's worst Exploit Kit – Angler, which lets hackers develop and conduct their own drive-by attacks on visitors' computers with relative ease. Many poorly-secured websites are targeting Windows users with a new "Cocktail" of malware that steals users' passwords before

from The Hacker News http://ift.tt/1N7dksx
via IFTTT

A Step-by-Step Guide — How to Install Free HTTPS/SSL Certificate on your Website

Another Big Milestone – Let's Encrypt is now offering Free HTTPS certificates to everyone. Let's Encrypt has opened to the public, allowing anyone to obtain Free SSL/TLS (Secure Socket Layer/Transport Layer Security) certificates for their web servers and to set up HTTPS websites in a few simple steps (mentioned below). Let's Encrypt – an initiative run by the Internet Security Research

from The Hacker News http://ift.tt/1NugDt2
via IFTTT

Enceladus: Ringside Water World

Saturn's icy moon Enceladus poses above the gas giant's icy rings in this Cassini spacecraft image. The dramatic scene was captured on July 29, while Cassini cruised just below the ring plane, its cameras looking back in a nearly sunward direction about 1 million kilometers from the moon's bright crescent. At 500 kilometers in diameter, Enceladus is a surprisingly active moon though, its remarkable south polar geysers are visible venting beyond a dark southern limb. In fact, data collected during Cassini's flybys and years of images have recently revealed the presence of a global ocean of liquid water beneath this moon's icy crust. Demonstrating the tantalizing liquid layer's global extent, the careful analysis indicates surface and core are not rigidly connected, with Enceladus rocking slightly back and forth in its orbit. via NASA http://ift.tt/1OIryTg

Paris Summit Hacked By Anonymous

Anonymous, the hacktivist movement, hacked the website of the summit organisers, the UN Framework Convention on Climate Change, and posted ...

from Google Alert - anonymous http://ift.tt/1m0n1lP
via IFTTT

The GTR-model: a universal framework for quantum-like measurements. (arXiv:1512.00880v1 [quant-ph])

We present a very general geometrico-dynamical description of physical or more abstract entities, called the 'general tension-reduction' (GTR) model, where not only states, but also measurement-interactions can be represented, and the associated outcome probabilities calculated. Underlying the model is the hypothesis that indeterminism manifests as a consequence of unavoidable fluctuations in the experimental context, in accordance with the 'hidden-measurements interpretation' of quantum mechanics. When the structure of the state space is Hilbertian, and measurements are of the 'universal' kind, i.e., are the result of an average over all possible ways of selecting an outcome, the GTR-model provides the same predictions of the Born rule, and therefore provides a natural completed version of quantum mechanics. However, when the structure of the state space is non-Hilbertian and/or not all possible ways of selecting an outcome are available to be actualized, the predictions of the model generally differ from the quantum ones, especially when sequential measurements are considered. Some paradigmatic examples will be discussed, taken from physics and human cognition. Particular attention will be given to some known psychological effects, like question order effects and response replicability, which we show are able to generate non-Hilbertian statistics. We also suggest a realistic interpretation of the GTR-model, when applied to human cognition and decision, which we think could become the generally adopted interpretative framework in quantum cognition research.

Donate to arXiv

from cs.AI updates on arXiv.org http://ift.tt/1XDOVVL
via IFTTT

Modeling Human Understanding of Complex Intentional Action with a Bayesian Nonparametric Subgoal Model. (arXiv:1512.00964v1 [cs.AI])

Most human behaviors consist of multiple parts, steps, or subtasks. These structures guide our action planning and execution, but when we observe others, the latent structure of their actions is typically unobservable, and must be inferred in order to learn new skills by demonstration, or to assist others in completing their tasks. For example, an assistant who has learned the subgoal structure of a colleague's task can more rapidly recognize and support their actions as they unfold. Here we model how humans infer subgoals from observations of complex action sequences using a nonparametric Bayesian model, which assumes that observed actions are generated by approximately rational planning over unknown subgoal sequences. We test this model with a behavioral experiment in which humans observed different series of goal-directed actions, and inferred both the number and composition of the subgoal sequences associated with each goal. The Bayesian model predicts human subgoal inferences with high accuracy, and significantly better than several alternative models and straightforward heuristics. Motivated by this result, we simulate how learning and inference of subgoals can improve performance in an artificial user assistance task. The Bayesian model learns the correct subgoals from fewer observations, and better assists users by more rapidly and accurately inferring the goal of their actions than alternative approaches.

Donate to arXiv

from cs.AI updates on arXiv.org http://ift.tt/1XLANUV
via IFTTT

Neural Enquirer: Learning to Query Tables. (arXiv:1512.00965v1 [cs.AI])

We proposed Neural Enquirer as a neural network architecture to execute a SQL-like query on a knowledge-base (KB) for answers. Basically, Neural Enquirer finds the distributed representation of a query and then executes it on knowledge-base tables to obtain the answer as one of the values in the tables. Unlike similar efforts in end-to-end training of semantic parser, Neural Enquirer is fully neuralized: it not only gives distributional representation of the query and the knowledge-base, but also realizes the execution of compositional queries as a series of differentiable operations, with intermediate results (consisting of annotations of the tables at different levels) saved on multiple layers of memory. Neural Enquirer can be trained with gradient descent, with which not only the parameters of the controlling components and semantic parsing component, but also the embeddings of the tables and query words can be learned from scratch. The training can be done in an end-to-end fashion, but it can take stronger guidance, e.g., the step-by-step supervision for complicated queries, and benefit from it. Neural Enquirer is one step towards building neural network systems which seek to understand language by executing it on real-world. Our experiments show that Neural Enquirer can learn to execute fairly complicated queries on tables with rich structures.

Donate to arXiv

from cs.AI updates on arXiv.org http://ift.tt/1jC8VFq
via IFTTT

A Study on Artificial Intelligence IQ and Standard Intelligent Model. (arXiv:1512.00977v1 [cs.AI])

Currently, potential threats of artificial intelligence (AI) to human have triggered a large controversy in society, behind which, the nature of the issue is whether the artificial intelligence (AI) system can be evaluated quantitatively. This article analyzes and evaluates the challenges that the AI development level is facing, and proposes that the evaluation methods for the human intelligence test and the AI system are not uniform; and the key reason for which is that none of the models can uniformly describe the AI system and the beings like human. Aiming at this problem, a standard intelligent system model is established in this study to describe the AI system and the beings like human uniformly. Based on the model, the article makes an abstract mathematical description, and builds the standard intelligent machine mathematical model; expands the Von Neumann architecture and proposes the Liufeng - Shiyong architecture; gives the definition of the artificial intelligence IQ, and establishes the artificial intelligence scale and the evaluation method; conduct the test on 50 search engines and three human subjects at different ages across the world, and finally obtains the ranking of the absolute IQ and deviation IQ ranking for artificial intelligence IQ 2014.

Donate to arXiv

from cs.AI updates on arXiv.org http://ift.tt/1XDOVVD
via IFTTT

Discrete Equilibrium Sampling with Arbitrary Nonequilibrium Processes. (arXiv:1512.01027v1 [stat.CO])

We present a novel framework for performing statistical sampling, expectation estimation, and partition function approximation using \emph{arbitrary} heuristic stochastic processes defined over discrete state spaces. Using a highly parallel construction we call the \emph{sequential constraining process}, we are able to simultaneously generate states with the heuristic process and accurately estimate their probabilities, even when they are far too small to be realistically inferred by direct counting. After showing that both theoretically correct importance sampling and Markov chain Monte Carlo are possible using the sequential constraining process, we integrate it into a methodology called \emph{state space sampling}, extending the ideas of state space search from computer science to the sampling context. The methodology comprises a dynamic data structure that constructs a robust Bayesian model of the statistics generated by the heuristic process subject to an accuracy constraint, the posterior Kullback-Leibler divergence. Sampling from the dynamic structure will generally yield partial states, which are completed by recursively calling the heuristic to refine the structure and resuming the sampling. Our experiments on various Ising models suggest that state space sampling enables heuristic state generation with accurate probability estimates, demonstrated by illustrating the convergence of a simulated annealing process to the Boltzmann distribution with increasing run length. Consequently, heretofore unprecedented direct importance sampling using the \emph{final} (marginal) distribution of a generic stochastic process is allowed, potentially augmenting the range of algorithms at the Monte Carlo practitioner's disposal.

Donate to arXiv

from cs.AI updates on arXiv.org http://ift.tt/1PC7dSV
via IFTTT

Querying with {\L}ukasiewicz logic. (arXiv:1512.01041v1 [cs.LO])

In this paper we present, by way of case studies, a proof of concept, based on a prototype working on a automotive data set, aimed at showing the potential usefulness of using formulas of {\L}ukasiewicz propositional logic to query databases in a fuzzy way. Our approach distinguishes itself for its stress on the purely linguistic, contraposed with numeric, formulations of queries. Our queries are expressed in the pure language of logic, and when we use (integer) numbers, these stand for shortenings of formulas on the syntactic level, and serve as linguistic hedges on the semantic one. Our case-study queries aim first at showing that each numeric-threshold fuzzy query is simulated by a {\L}ukasiewicz formula. Then they focus on the expressing power of {\L}ukasiewicz logic which easily allows for updating queries by clauses and for modifying them through a potentially infinite variety of linguistic hedges implemented with a uniform syntactic mechanism. Finally we shall hint how, already at propositional level, {\L}ukasiewicz natural semantics enjoys a degree of reflection, allowing to write syntactically simple queries that semantically work as meta-queries weighing the contribution of simpler ones.

Donate to arXiv

from cs.AI updates on arXiv.org http://ift.tt/1XDOYAG
via IFTTT

Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization. (arXiv:1512.01110v1 [cs.NA])

Bayesian matrix completion has been studied based on a low-rank matrix factorization formulation with promising results. However, little work has been done on Bayesian matrix completion based on the more direct spectral regularization formulation. We fill this gap by presenting a novel Bayesian matrix completion method based on spectral regularization. In order to circumvent the difficulties of dealing with the orthonormality constraints of singular vectors, we derive a new equivalent form with relaxed constraints, which then leads us to design an adaptive version of spectral regularization feasible for Bayesian inference. Our Bayesian method requires no parameter tuning and can infer the number of latent factors automatically. Experiments on synthetic and real datasets demonstrate encouraging results on rank recovery and collaborative filtering, with notably good results for very sparse matrices.

Donate to arXiv

from cs.AI updates on arXiv.org http://ift.tt/1jC8VFg
via IFTTT

Deep Reinforcement Learning with Attention for Slate Markov Decision Processes with High-Dimensional States and Actions. (arXiv:1512.01124v1 [cs.AI])

Many real-world problems come with action spaces represented as feature vectors. Although high-dimensional control is a largely unsolved problem, there has recently been progress for modest dimensionalities. Here we report on a successful attempt at addressing problems of dimensionality as high as $2000$, of a particular form. Motivated by important applications such as recommendation systems that do not fit the standard reinforcement learning frameworks, we introduce Slate Markov Decision Processes (slate-MDPs). A Slate-MDP is an MDP with a combinatorial action space consisting of slates (tuples) of primitive actions of which one is executed in an underlying MDP. The agent does not control the choice of this executed action and the action might not even be from the slate, e.g., for recommendation systems for which all recommendations can be ignored. We use deep Q-learning based on feature representations of both the state and action to learn the value of whole slates. Unlike existing methods, we optimize for both the combinatorial and sequential aspects of our tasks. The new agent's superiority over agents that either ignore the combinatorial or sequential long-term value aspect is demonstrated on a range of environments with dynamics from a real-world recommendation system. Further, we use deep deterministic policy gradients to learn a policy that for each position of the slate, guides attention towards the part of the action space in which the value is the highest and we only evaluate actions in this area. The attention is used within a sequentially greedy procedure leveraging submodularity. Finally, we show how introducing risk-seeking can dramatically imporve the agents performance and ability to discover more far reaching strategies.

Donate to arXiv

from cs.AI updates on arXiv.org http://ift.tt/1Ntv8lc
via IFTTT

Building Memory with Concept Learning Capabilities from Large-scale Knowledge Base. (arXiv:1512.01173v1 [cs.CL])

We present a new perspective on neural knowledge base (KB) embeddings, from which we build a framework that can model symbolic knowledge in the KB together with its learning process. We show that this framework well regularizes previous neural KB embedding model for superior performance in reasoning tasks, while having the capabilities of dealing with unseen entities, that is, to learn their embeddings from natural language descriptions, which is very like human's behavior of learning semantic concepts.

Donate to arXiv

from cs.AI updates on arXiv.org http://ift.tt/1NtvaJN
via IFTTT

The Human Kernel. (arXiv:1510.07389v3 [cs.LG] UPDATED)

Bayesian nonparametric models, such as Gaussian processes, provide a compelling framework for automatic statistical modelling: these models have a high degree of flexibility, and automatically calibrated complexity. However, automating human expertise remains elusive; for example, Gaussian processes with standard kernels struggle on function extrapolation problems that are trivial for human learners. In this paper, we create function extrapolation problems and acquire human responses, and then design a kernel learning framework to reverse engineer the inductive biases of human learners across a set of behavioral experiments. We use the learned kernels to gain psychological insights and to extrapolate in human-like ways that go beyond traditional stationary and polynomial kernels. Finally, we investigate Occam's razor in human and Gaussian process based function learning.

Donate to arXiv

from cs.AI updates on arXiv.org http://ift.tt/1LSTznQ
via IFTTT

Alcoholics Anonymous Humboldt Meetings

03 December 2015Mon. 8:00 pm. Tues. 7:30 pm. Thurs. 8:00 pm. Fri. 7:30 pm. Sat. 9:30 am. All at Humboldt District Hospital, Meeting room B01.

from Google Alert - anonymous http://ift.tt/1PBOHtZ
via IFTTT

Anonymous

Anonymous. This borrower is married. He is from Potosi and lives in a tropical area. He has three children, now independent adults. The borrower is ...

from Google Alert - anonymous http://ift.tt/1TobtmQ
via IFTTT

Accidentally anonymous

I then signed in and wrote a nearly identical review (which has already been published), so I am a bit concerned if the anonymous review would be ...

from Google Alert - anonymous http://ift.tt/1O6iN2v
via IFTTT

I have a new follower on Twitter

Mike Kopack
#UX #Designer @Availity in Indianapolis. Motorhead, Writer, & Recovering Lego Maniac
Indianapolis, IN
http://t.co/clP8Oj1Dpd
Following: 2167 - Followers: 2226

December 03, 2015 at 04:40PM via Twitter http://twitter.com/MikeKopack

China — OPM Hack was not State-Sponsored; Blames Chinese Criminal Gangs

In the most surprising manner, the Chinese government said it arrested criminal hackers behind the massive cyber attack on US Office of Personnel Management (OPM) earlier this year, dismissing its involvement. Three months back, we reported that China arrested a handful of hackers within its borders who were suspected of allegedly stealing commercial secrets from US companies. <!--

from The Hacker News http://ift.tt/1YLf6a8
via IFTTT

Orioles Video: Signs pointing to Chris Davis leaving, Eddie Matz explains; Baltimore \"more focused on outfielders\" (ESPN)

from ESPN http://ift.tt/1eW1vUH
via IFTTT

ISS Daily Summary Report – 12/2/15

Biochemical Profile:  Lindgren continued his Return minus 14 (R-14) blood and urine collections and Yui his R-14 saliva collection for the Biochem Profile investigation.  Samples were stowed in a Minus Eighty Degree Celsius Laboratory Freezer for ISS (MELFI) for return on a later flight. The Biochemical Profile experiment tests blood and urine samples obtained from astronauts before, during, and after spaceflight. Specific proteins and chemicals in the samples are used as biomarkers, or indicators of health. Post-flight analysis yields a database of samples and test results, which scientists can use to study the effects of spaceflight on the body.   Ocular Health:  Lindgren and Yui continued their Flight Day 120 Ocular Health activities by performing their Optical Coherence Tomography (OCT) and fundoscopy, with Kelly acting as the Crew Medical Officer.  OCT is used to measure retinal thickness, volume, and retinal nerve fiber layer, and the fundoscope is used to obtain images of the retinal surface.  The Ocular Health protocol calls for a systematic gathering of physiological data to characterize the risk of microgravity-induced visual impairment/intracranial pressure in ISS crewmembers. Researchers believe that the measurement of visual, vascular and central nervous system changes over the course of this experiment and during the subsequent post-flight recovery will assist in the development of countermeasures, clinical monitoring strategies, and clinical practice guidelines.   Veggie (Veg-01):  Lindgren refilled the Veg-01 plant pillows with water.  The Veg-01 investigation is used to assess on-orbit function and performance of the Veggie facility, focusing on the growth and development of seedlings in the spaceflight environment and the composition of microbial flora on the plants and the facility.  For this run, Zinnias will be grown for 60 days and are expected to produce flowers.   Twins Study:  In support of the Twins Study, Kelly completed his Flight Day 240 saliva collection, stowing samples in a MELFI.  This investigation is an integrated compilation of ten different studies led by multiple investigators.  The studies take advantage of a unique opportunity to look at the effects of space travel on identical twins, with one of them experiencing space travel for a year while the other remains earth-bound for that same year.  The study looks at changes in the human body that are important in the fields of genetics, psychology, physiology, microbiology, and immunology.   EXPRESS (EXpedite the PRocessing of Experiments to Space Station) Rack 3 Laptop Software Load:  Kelly supported the ongoing software updates to ISS EXPRESS Rack laptops by copying a software load to the EXPRESS Rack 3 laptop.  These software updates include enhanced security with the Windows 7 operating system, new features and support for new capabilities.   Sleep Log:  Kelly recorded a Sleep Log entry today after waking.  The Sleep ISS-12 experiment monitors ambient light exposure and crew member activity and collects subjective evaluations of sleep and alertness.  The investigation examines the effects of space flight and ambient light exposure on sleep during a year-long mission on the ISS.   Habitability:  Today Kelly documented his recent observations related to human factors and habitability for the Habitability investigation.  Habitability assesses the relationship between crew members and their environment in order to better prepare for future long-duration spaceflights to destinations, such as near earth asteroids and Mars. Observations recorded during 6 month and 1 year missions can help spacecraft designers determine how much habitable volume is required, and whether a mission’s duration impacts how much space crew members need.   Mid-Increment Debrief Questionnaires:  As part of Kelly’s half way point into his yearlong mission onboard ISS, he answered questions from Logistics & Maintenance and Medical Operations questionnaires.  The answers will then be downlinked to the ground in order to assist ground teams and future crews.   Centerline Berthing Camera System (CBCS) Installation and Checkout:  In preparation for Cygnus berthing on Sunday December 6th, Yui  installed the CBCS System onto the Node 1 Nadir Hatch.  Following the installation Yui worked with ground teams in order to successfully checkout the system.  The checkout involved routing the video from the camera to the Cupola Robotics Work Station (RWS) monitors and the ground.  Video from the CBCS is used to aid the crew during Visiting Vehicle mating operations.   Crew Departure Preparation:  Yui continued to pack his personal items in preparation for his crews return to earth onboard Soyuz 43 (43S) on December 11th. The items will be returning by way of 43S, SpaceX-8, and SpaceX-9.   Sokol Suit Leak Check:  This morning the 43S crew performed a nominal Sokol suit leak check.  Prior to the leak check, they reported a light “burning” odor in the 43 Soyuz, later classified as a “plastic” odor coming from one of the panels.  Compound Specific Analyzer – Combustion Products (CSA-CP) readings were zero.  Russian specialists are investigating.   Kurs Loopback Test:   Today MCC-M performed a test of the FGB KURS-P with the 43S Kurs-A.  FGB Kurs semi-set 1 passed the test, but semi-set 2 was not successful.  Further testing has been deferred pending investigation by Russian specialists.   Today’s Planned Activities All activities were completed unless otherwise noted. HRF Urine Sample Collection HRF – Sample MELFI Insertion HRF Blood Sample Collection and Cold Stowage Eye Exam (Ocular Health) – OCT Setup HRF Refrigerated Centrifuge Configuration ER3 –  Laptop Gateway IP Configuration On MCC GO Regeneration of БМП Ф2 Micropurification Cartridge (start) ER1 – Software Installation HRF – Blood Sample Collection Closeout Ops VIBROLAB. Monitoring hardware activation Soyuz 717 Samsung tablet charge – start HRF – MELFI Sample Insertion Collecting condensate water samples  [КАВ] from [СРВ-К2М] up to Gas-Liquid Mixture Filter (ФГС) to Russian Samplers – end Eye Exam (Ocular Health) – OCT Exam Soyuz 717 Stowage Ops CARDIOVECTOR. Experiment Ops Collecting condensate water samples [КАВ] up to СРВ-К2М БКО – equipment setup, sampler installation ER1 – Closeout Ops CARDIOVECTOR. Photography of the Experiment Ops BIOME – Survey Questionnaire Completion HRF Urine Collection Hardware Setup WRS – Recycle Tank Fill ER1 – Computer Software Load Soyuz 718 Samsung tablet charge – start WRS Water Sample Analysis Eye Exam (Ocular […]

from ISS On-Orbit Status Report http://ift.tt/1Q2vjGb
via IFTTT

Security to be increased after anonymous online threat about TCC in Portsmouth

Security is being increased as a precaution after Tidewater Community College learned about an online threat made by an anonymous poster on ...

from Google Alert - anonymous http://ift.tt/1jAqq9a
via IFTTT

[FD] Multiple vulnerabilities in Huutopörssi's website (huutoporssi.fi)

In English ========== Description

Source: Gmail -> IFTTT-> Blogger

[FD] Huawei Wimax routers vulnerable to multiple threats

Hello, Please find a text-only version below sent to security mailing-lists. The html version on analysing the vulnerabilities in Huawei Wimax routers is posted here: http://ift.tt/1St5XiL === text-version of the advisory ===

Source: Gmail -> IFTTT-> Blogger

Ocean City, MD's surf is at least 6.32ft high

Maryland-Delaware, December 09, 2015 at 02:00AM

Ocean City, MD Summary
At 2:00 AM, surf min of 6.32ft. At 8:00 AM, surf min of 6.12ft. At 2:00 PM, surf min of 5.29ft. At 8:00 PM, surf min of 4.32ft.

Surf maximum: 6.62ft (2.02m)
Surf minimum: 6.32ft (1.93m)
Tide height: 1.43ft (0.43m)
Wind direction: NW
Wind speed: 17.07 KTS


from Surfline http://ift.tt/1kVmigH
via IFTTT

[FD] BF and CE vulnerabilities in ASUS RT-G32

Hello list! There are Brute Force та Code Execution vulnerabilities in ASUS Wireless Router RT-G32. After previous Cross-Site Scripting and Cross-Site Request Forgery vulnerabilities in RT-G32.

Source: Gmail -> IFTTT-> Blogger

[FD] [CFP] BSides San Francisco - February 2016

(We're a small, non-profit volunteer organization so please help us by spreading the word. Apologies in advance if you receive this via multiple mailing lists.) BSides SF is soliciting papers and presentations for the 2016 annual BSides SF conference. CFP: http://ift.tt/1OziwJY ** Topics ** All topic areas related to reliability, network security, privacy, cryptography, and information security are of interest and in scope. Let us help you get the word out on The Next Big Thing! ** Submission ** http://ift.tt/1OziwJY ** Dates and Deadlines ** CFP opens: November 30, 2015 First round notification: December 20, 2015 Submissions due: 9am PT, January 10, 2016 Final notification to authors: January 31, 2016 Conference: February 28-29, 2016 (the Sunday and Monday just before RSA 2016) ** Location ** BSides SF will be located at DNA Lounge, 375 11th Street San Francisco, CA, USA ****** Thanks! Security BSides San Francisco https://bsidessf.com info@bsidessf.com https://twitter.com/bsidessf

Source: Gmail -> IFTTT-> Blogger

Attribute2Image: Conditional Image Generation from Visual Attributes. (arXiv:1512.00570v1 [cs.LG])

This paper investigates a problem of generating images from visual attributes. Given the prevalent research for image recognition, the conditional image generation problem is relatively under-explored due to the challenges of learning a good generative model and handling rendering uncertainties in images. To address this, we propose a variety of attribute-conditioned deep variational auto-encoders that enjoy both effective representation learning and Bayesian modeling, from which images can be generated from specified attributes and sampled latent factors. We experiment with natural face images and demonstrate that the proposed models are capable of generating realistic faces with diverse appearance. We further evaluate the proposed models by performing attribute-conditioned image progression, transfer and retrieval. In particular, our generation method achieves superior performance in the retrieval experiment against traditional nearest-neighbor-based methods both qualitatively and quantitatively.

from cs.AI updates on arXiv.org http://ift.tt/1MXiGII
via IFTTT

Object-based World Modeling in Semi-Static Environments with Dependent Dirichlet-Process Mixtures. (arXiv:1512.00573v1 [cs.AI])

To accomplish tasks in human-centric indoor environments, robots need to represent and understand the world in terms of objects and their attributes. We refer to this attribute-based representation as a world model, and consider how to acquire it via noisy perception and maintain it over time, as objects are added, changed, and removed in the world. Previous work has framed this as multiple-target tracking problem, where objects are potentially in motion at all times. Although this approach is general, it is computationally expensive. We argue that such generality is not needed in typical world modeling tasks, where objects only change state occasionally. More efficient approaches are enabled by restricting ourselves to such semi-static environments.

We consider a previously-proposed clustering-based world modeling approach that assumed static environments, and extend it to semi-static domains by applying a dependent Dirichlet-process (DDP) mixture model. We derive a novel MAP inference algorithm under this model, subject to data association constraints. We demonstrate our approach improves computational performance in semi-static environments.

from cs.AI updates on arXiv.org http://ift.tt/1Ro8jkt
via IFTTT

Information entropy as an anthropomorphic concept. (arXiv:1503.01967v2 [cs.IT] UPDATED)

According to E.T. Jaynes and E.P. Wigner, entropy is an anthropomorphic concept in the sense that in a physical system correspond many thermodynamic systems. The physical system can be examined from many points of view each time examining different variables and calculating entropy differently. In this paper we discuss how this concept may be applied in information entropy; how Shannon's definition of entropy can fit in Jayne's and Wigner's statement. This is achieved by generalizing Shannon's notion of information entropy and this is the main contribution of the paper. Then we discuss how entropy under these considerations may be used for the comparison of password complexity and as a measure of diversity useful in the analysis of the behavior of genetic algorithms.

from cs.AI updates on arXiv.org http://ift.tt/1aW0rFl
via IFTTT

Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences. (arXiv:1506.04089v3 [cs.CL] UPDATED)

We propose a neural sequence-to-sequence model for direction following, a task that is essential to realizing effective autonomous agents. Our alignment-based encoder-decoder model with long short-term memory recurrent neural networks (LSTM-RNN) translates natural language instructions to action sequences based upon a representation of the observable world state. We introduce a multi-level aligner that empowers our model to focus on sentence "regions" salient to the current world state by using multiple abstractions of the input sentence. In contrast to existing methods, our model uses no specialized linguistic resources (e.g., parsers) or task-specific annotations (e.g., seed lexicons). It is therefore generalizable, yet still achieves the best results reported to-date on a benchmark single-sentence dataset and competitive results for the limited-training multi-sentence setting. We analyze our model through a series of ablations that elucidate the contributions of the primary components of our model.

from cs.AI updates on arXiv.org http://ift.tt/1JSbxbL
via IFTTT

An Efficient Implementation for WalkSAT. (arXiv:1510.07217v2 [cs.AI] UPDATED)

Stochastic local search (SLS) algorithms have exhibited great effectiveness in finding models of random instances of the Boolean satisfiability problem (SAT). As one of the most widely known and used SLS algorithm, WalkSAT plays a key role in the evolutions of SLS for SAT, and also hold state-of-the-art performance on random instances. This work proposes a novel implementation for WalkSAT which decreases the redundant calculations leading to a dramatically speeding up, thus dominates the latest version of WalkSAT including its advanced variants.

from cs.AI updates on arXiv.org http://ift.tt/1S7eVCj
via IFTTT

Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in Neocortex. (arXiv:1511.00083v2 [q-bio.NC] UPDATED)

Neocortical neurons have thousands of excitatory synapses. It is a mystery how neurons integrate the input from so many synapses and what kind of large-scale network behavior this enables. It has been previously proposed that non-linear properties of dendrites enable neurons to recognize multiple patterns. In this paper we extend this idea by showing that a neuron with several thousand synapses arranged along active dendrites can learn to accurately and robustly recognize hundreds of unique patterns of cellular activity, even in the presence of large amounts of noise and pattern variation. We then propose a neuron model where some of the patterns recognized by a neuron lead to action potentials and define the classic receptive field of the neuron, whereas the majority of the patterns recognized by a neuron act as predictions by slightly depolarizing the neuron without immediately generating an action potential. We then present a network model based on neurons with these properties and show that the network learns a robust model of time-based sequences. Given the similarity of excitatory neurons throughout the neocortex and the importance of sequence memory in inference and behavior, we propose that this form of sequence memory is a universal property of neocortical tissue. We further propose that cellular layers in the neocortex implement variations of the same sequence memory algorithm to achieve different aspects of inference and behavior. The neuron and network models we introduce are robust over a wide range of parameters as long as the network uses a sparse distributed code of cellular activations. The sequence capacity of the network scales linearly with the number of synapses on each neuron. Thus neurons need thousands of synapses to learn the many temporal patterns in sensory stimuli and motor sequences.

from cs.AI updates on arXiv.org http://ift.tt/1H0Nvgd
via IFTTT

Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling. (arXiv:1511.04137v2 [cs.SI] UPDATED)

Learning about the social structure of hidden and hard-to-reach populations --- such as drug users and sex workers --- is a major goal of epidemiological and public health research on risk behaviors and disease prevention. Respondent-driven sampling (RDS) is a peer-referral process widely used by many health organizations, where research subjects recruit other subjects from their social network. In such surveys, researchers observe who recruited whom, along with the time of recruitment and the total number of acquaintances (network degree) of respondents. However, due to privacy concerns, the identities of acquaintances are not disclosed. In this work, we show how to reconstruct the underlying network structure through which the subjects are recruited. We formulate the dynamics of RDS as a continuous-time diffusion process over the underlying graph and derive the likelihood for the recruitment time series under an arbitrary recruitment time distribution. We develop an efficient stochastic optimization algorithm called RENDER (REspoNdent-Driven nEtwork Reconstruction) that finds the network that best explains the collected data. We support our analytical results through an exhaustive set of experiments on both synthetic and real data.

from cs.AI updates on arXiv.org http://ift.tt/1NyCJei
via IFTTT

9 Things About Anonymous As They Wage War On Isis

9 Things About Anonymous As They Wage War On Isis.

from Google Alert - anonymous http://ift.tt/1NInVj6
via IFTTT

Anonymous Cyber Attacks Iceland's Government to Save the Whales

On Friday, Anonymous took down five of Iceland's government sites, one of which was the prime minister's website and the environment and interior ...

from Google Alert - anonymous http://ift.tt/21wn21a
via IFTTT

EBA reports on the publication of administrative penalties on an anonymous basis

The European Banking Authority (EBA) released today a report reviewing the publication by competent authorities, on an anonymous basis, ...

from Google Alert - anonymous http://ift.tt/1NId1Kg
via IFTTT

Ravens: Baltimore works out QB Ryan Mallett Wednesday; Joe Flacco out for season, Matt Schaub named starter (ESPN)

from ESPN http://ift.tt/17lH5T2
via IFTTT

Orioles: Trade for Mark Trumbo brings flexibility (plays 1B, LF, RF), power (131 HRs last 5 seasons), writes Eddie Matz (ESPN)

from ESPN http://ift.tt/1eW1vUH
via IFTTT

I have a new follower on Twitter

Youth Sports Aid
Tips and insights on keeping our youth safe with the athletics they are involved in.
Tulsa, OK.
http://t.co/jhmdUZjvDu
Following: 3231 - Followers: 2101

December 02, 2015 at 11:55AM via Twitter http://twitter.com/youthsports_aid

Our anonymous egg donors get $7000 + MORE! Apply to the BEST program!

Attention Women 21-30: Become an Anonymous Egg Donor! Make up to $8000 + MORE While Helping Others! Would you like to make up to $8000+ ...

from Google Alert - anonymous http://ift.tt/1PvTWLw
via IFTTT

Boston Briefing: Red Sox pay the price for an ace; Gronk thinks refs are targeting him; Bruins in action Wednesday night (ESPN)

from ESPN http://ift.tt/1eW1vUH
via IFTTT

anonymous,uncategorized,misc,general,other

Too much soft drink will create you to collapse as well as burn literally (not to mention the enormous calories). It's genuinely end up being amongst the ...

from Google Alert - anonymous http://ift.tt/1lXbBix
via IFTTT

Sponsors and donors

Anonymous, 02 Dec 15, New York, USA, US$15.00. TBA. Initiative This is a general donation to Against Malaria, not a sponsorship, Matthew Ben- ...

from Google Alert - anonymous http://ift.tt/1lXbDan
via IFTTT

Ocean City, MD's surf is at least 6.32ft high

Maryland-Delaware, December 08, 2015 at 08:00AM

Ocean City, MD Summary
At 2:00 AM, surf min of 3.21ft. At 8:00 AM, surf min of 6.32ft. At 2:00 PM, surf min of 2.13ft. At 8:00 PM, surf min of 2.92ft.

Surf maximum: 7.32ft (2.23m)
Surf minimum: 6.32ft (1.93m)
Tide height: 2.35ft (0.72m)
Wind direction: SE
Wind speed: 19.24 KTS


from Surfline http://ift.tt/1kVmigH
via IFTTT

ISS Daily Summary Report – 12/1/15

Ocular Health:  Crewmembers Yui and Lindgren completed vision tests, tonometry tests, and blood pressure measurements as part of their Flight Day 120 Ocular Health testing.  The Ocular Health protocol calls for a systematic gathering of physiological data to characterize the risks of microgravity-induced visual impairment and increased intracranial pressure in ISS crewmembers. Researchers believe that the measurement of visual, vascular and central nervous system changes over the course of this experiment and during the subsequent post-flight recovery will assist in the development of countermeasures, clinical monitoring strategies, and clinical practice guidelines.   Cognition:  Yui  performed his Return minus 10 day session of the Cognition experiment later today.  The Individualized Real-Time Neurocognitive Assessment Toolkit for Space Flight Fatigue (Cognition) investigation is a battery of tests that measure how spaceflight-related physical changes, such as microgravity and lack of sleep, can affect cognitive performance. Cognition includes ten brief computerized tests that cover a wide range of cognitive functions, and provides immediate feedback on current and past test results. The software used allows for real-time measurement of cognitive performance while in space.   Window Observation Research Facility (WORF) Laptop Software Load:  Kelly supported the ongoing software updates to payload laptops by copying a software load to the WORF laptop.  These software updates include enhanced security with the Windows 7 operating system, new features and support for new capabilities.   Sleep Log:  Kelly recorded a Sleep Log entry today after waking.  The Sleep ISS-12 experiment monitors ambient light exposure and crew member activity and collects subjective evaluations of sleep and alertness.  The investigation examines the effects of space flight and ambient light exposure on sleep during a year-long mission on the ISS.   Service Module (SM) Water Sample Collection:  Kelly obtained samples from Service Module potable water dispensers today.  Some of the samples will undergo microbial analysis onboard ISS and others will be prepared for return to the ground for post-flight analysis.   Soyuz 43 (43S) Prepack Transfer Operations:  Lindgren prepared and transferred US cargo that will be returning to the ground via 43S on December 11th.   Cygnus Attached Phase Training:  Kelly and Lindgren conducted onboard training in order to familiarize themselves with Cygnus hardware, stowage, and attached phase vehicle configuration.   Crew Departure Preparation:  Yui  continued to pack his personal items in preparation for his crews return to earth onboard 43S.   Today’s Planned Activities   All activities were completed unless otherwise noted. HRF – Sample collection and stowage Calf Volume Measurement HRF – Sample MELFI Insertion HRF Urine Sample Collection HRF – Sample MELFI Insertion On MCC Go Regeneration of БМП Ф1 Micropurification Cartridge (start) SEISMOPROGNOZ. Downlink data from Control and Data Acquisition Module (МКСД) HDD (start) Soyuz 717 Prepack Ops Eye Exam (Ocular Health) – Vision Test Collecting condensate water samples from СРВ-К2М before Gas-Liquid Mixture Filter (ФГС) into Russian Samplers – start Eye Exam (Ocular Health) – VIS Questionnaire Scheduled Maintenance of Compound Specific Analyzer- Combustion Products (CSA-CP) Study of veins in lower extremities Eye Exam (Ocular Health) – Vision Test ER1 – Software Installation Potable Water Collection in SM for In-Flight Chemical and Microbial Analysis JAXA Video Conference Preparation Eye Exam (Ocular Health) – VIS Questionnaire JAXA Video Conference Preparation HRF Urine Sample Collection Filling (separation) EDV-SV No.1209 (00067500R, ФГБ1ПГО_1_108).  For separation use EDV No.1192 (00065120R, ФГБ1ПГО_1_107) JAXA Video Conference HRF – Sample MELFI Insertion Ocular Health (OH) Blood Pressure Operations В3 Fan Screen Cleaning in MRM2 СОЖ Maintenance JAXA – Deactivation of Video Camera Ocular Health (OH) Blood Pressure Operations Ocular Health (OH) – Tonometry Test Configuration Eye Exam (Ocular Health) – Tonometry Test ER1 – Computer Software Load COSMOCARD. Closeout Ops WRS Sample Collection Vacuum Cleaning of ВД1 and ВД2 air ducts in MRM2 WRS – Recycle Tank Fill Eye Exam (Ocular Health) – Stow Tonometry Hardware CARDIOVECTOR. Experiment Ops Prepack US items to be loaded inti Soyuz 717 (43S) TOCA Potable Water Dispenser (PWD) Sample Analysis PCS Relocation Assisting with LBNP Exercise LBNP Exercise HRF Urine Sample Collection PAO Hardware Setup HRF – Sample MELFI Insertion HRF Blood Collection Hardware Setup Personal Medication Stowage JRNL – Journal Entry [Deferred] JEM Terminal Computer Reboot Cygnus Ops Review SEISMOPROGNOZ. Download data from Control and Data Acquisition Module (МКСД) HDD (end) and start backup EDV Transfers from US to Russian stowage areas JAXA. Video Conference Preparation Tightening of Progress 429 (Aft) QD Screw Clamps JAXA. Video Ops HRF Urine Sample Collection TORU Test with Docked Progress 429 (SM Aft) Video Footage for Roscosmos TV Studio JAXA. Post Video Conference Closeout Ops HRF – Sample MELFI Insertion Study of veins in lower extremities Crew Departure Prep Video Footage of Greetings TOCA Data Recording Water Processing using MCD WRS – Recycle Tank Fill IMS Delta File Prep INTERACTION-2. Running Experiment Session IDENTIFICATION. Copy ИМУ-Ц micro-accelerometer data to laptop ER1 – Hardware Removal COGNITION – Experiment Ops and Filling Questionnaire On MCC Go Regeneration of БМП Ф1 Absorption Cartridge (end) Preparation of Reports for Roscosmos Web Site and Social Media ECON-M. Observations and Photography Video Recording for All-Russia State Television and Radio Broadcasting Company (ВГТРК) Installation of inserts to ease opening of SM interior panel locks Personal Data Prep for Return   Completed Task List Items None   Ground Activities All activities were completed unless otherwise noted. Nominal System Commanding   Three-Day Look Ahead: Wednesday, 12/02: Ocular Health, CBCS Install, Cygnus Cargo Ops Conf, Crew Departure Prep, Fundoscope Thursday, 12/03: Orbital ATK 4 Launch , Ocular Health, CARDOX, Soyuz Descent OBT Friday, 12/04: 1/2 Duty Day, Cygnus Robotics OBT, Crew Departure Prep, RAM Retrieval, Biome   QUICK ISS Status – Environmental Control Group:                               Component Status Elektron On Vozdukh Manual [СКВ] 1 – SM Air Conditioner System (“SKV1”) On [СКВ] 2 – SM Air Conditioner System (“SKV2”) Off Carbon Dioxide Removal Assembly (CDRA) Lab Standby Carbon Dioxide Removal Assembly (CDRA) Node 3 Operate Major Constituent Analyzer (MCA) Lab Shutdown Major Constituent Analyzer (MCA) Node 3 Operate Oxygen Generation Assembly (OGA) Process Urine Processing Assembly (UPA) Normal Trace Contaminant Control System (TCCS) Lab […]

from ISS On-Orbit Status Report http://ift.tt/1MW2l7o
via IFTTT

Patent Troll — 66 Big Companies Sued For Using HTTPS Encryption

Are you Using HTTPS on your Website to securely encrypt traffic? Well, we'll see you in the court. At least, that's what CryptoPeak is saying to all big brands that utilize HTTPS on their web servers. BIG Brands Sued for Using HTTPS: 'Patent Troll' Texas-based company CryptoPeak Solutions LLC has filed 66 lawsuits against many big businesses in the US, claiming they have illegally

from The Hacker News http://ift.tt/1YHdTAp
via IFTTT

Adobe to Kill 'FLASH', but by Just Renaming it as 'Adobe Animate CC'

Adobe is Finally Killing FLASH, but not actually. Adobe Flash made the Internet a better place with slick graphics, animation, games and applications, but it never stood a chance of surviving in the same world as HTML5. Of course, Flash has plagued with various stability and security issues, which is why developers had hated the technology for years. So, now it's time to say GoodBye

from The Hacker News http://ift.tt/1RlDE7s
via IFTTT

Nebulae in Aurigae

Rich in star clusters and nebulae, the ancient constellation of the Charioteer (Auriga) rides high in northern winter night skies. Composed from narrow and broadband filter data and spanning nearly 8 Full Moons (4 degrees) on the sky, this deep telescopic view shows off some of Auriga's celestial bounty. The field includes emission region IC 405 (top left) about 1,500 light-years distant. Also known as the Flaming Star Nebula, its red, convoluted clouds of glowing hydrogen gas are energized by hot O-type star AE Aurigae. IC 410 (top right) is significantly more distant, some 12,000 light-years away. The star forming region is famous for its embedded young star cluster, NGC 1893, and tadpole-shaped clouds of dust and gas. IC 417 and NGC 1931 at the lower right, the Spider and the Fly, are also young star clusters embedded in natal clouds that lie far beyond IC 405. Star cluster NGC 1907 is near the bottom edge of the frame, just right of center. The crowded field of view looks along the plane of our Milky Way galaxy, near the direction of the galactic anticenter. via NASA http://ift.tt/1OC4s0o

A Quarter Century US Forest Disturbance History from Landsat - the NAFD-NEX Products

The North American Forest Dynamics (NAFD) study provides annual maps of forest disturbance in the conterminous United States, from 1986-2010. Using data from the NASA/USGS Landsat satellite program, the NAFD study produces maps at a spatial resolution of 30-meters. Spanning the 25 years of the study required 26,142 Landsat images and the use of the NASA Earth Exchange (NEX) supercomputing facility. Each annual map has classified pixels showing water, no forest cover, forest cover, no data available (data gaps) in present year, and forest disturbances that occurred in that year. Forest distubance, in this study, refers to any removal or loss of the forest canopy. There were disturbances from natural causes, such as fires, insect outbreaks, hurricanes, tornadoes, and snow storms. There were also human-caused disturbances such as timber harvesting, urban development, and mining. Major timber harvest areas included the Southeast, the Pacific Northwest, and Maine. Extensive mountaintop mining was found in the Southern Appalachians, extending from Western Virginia to Tennessee. The eastern coast suffered substantial damages from hurricanes, while large scale damages from fire and insect outreak were mostly in the western U.S. This study is a core project of the North American Carbon Program (NACP), a multidisciplinary research program designed to obtain scientific understanding of North America's carbon sources and sinks and quantify changes in carbon stocks. This information is being used to evaluate the role of forest disturbance in the North American carbon cycle, which will help meet societal concerns and provide tools for decision makers. The NAFD (North American Forest Dynamics) study, a core project of the North American Carbon Program (NACP), was supported by grants from NASA's Terrestrial Ecology, Carbon Cycle Sciences, and Applied Sciences Programs. The UMD group was supported under NASA Grant NNX11AJ78G S01. Associated NAFD-NEX activities have been carried out by Warren Cohen, USFS Pacific Northwest Research Station (Product Validation), Jeffrey Masek, NASA Goddard Space Flight Center (Regrowth Dynamics), Gretchen Moisen, USFS Rocky Mountain Research Station (Causal Factors Attribution) and Ramakrishna Nemani, NASA Ames Research Center (NEX computing). Data Citation: Goward, S.N., C. Huang, F. Zhao, K. Schleeweis, K. Rishmawi, M. Lindsey, J.L. Dungan, and A. Michaelis. 2015. NACP NAFD Project: Forest Disturbance History from Landsat, 1986-2010. ORNL DAAC, Oak Ridge, Tennessee, USA. http://ift.tt/1Qd6FkF

from NASA's Scientific Visualization Studio: Most Recent Items http://ift.tt/1LN06PI
via IFTTT

Free Anonymous HIV Testing

Additional Information. Free Anonymous HIV Testing sponsored by the UCLA LGBT Campus Resource Center and the Aids Health Foundation.

from Google Alert - anonymous http://ift.tt/1InObwO
via IFTTT

Orioles: Mark Trumbo has been acquired from Mariners for C Steve Clevenger, according to Jim Bowden, multiple reports (ESPN)

from ESPN http://ift.tt/1eW1vUH
via IFTTT

Symbolic Neutrosophic Theory. (arXiv:1512.00047v1 [cs.AI])

Symbolic (or Literal) Neutrosophic Theory is referring to the use of abstract symbols (i.e. the letters T, I, F, or their refined indexed letters Tj, Ik, Fl) in neutrosophics. We extend the dialectical triad thesis-antithesis-synthesis to the neutrosophic tetrad thesis-antithesis-neutrothesis-neutrosynthesis. The we introduce the neutrosophic system that is a quasi or (t,i,f) classical system, in the sense that the neutrosophic system deals with quasi-terms (concepts, attributes, etc.). Then the notions of Neutrosophic Axiom, Neutrosophic Deducibility, Degree of Contradiction (Dissimilarity) of Two Neutrosophic Axioms, etc. Afterwards a new type of structures, called (t, i, f) Neutrosophic Structures, and we show particular cases of such structures in geometry and in algebra. Also, a short history of the neutrosophic set, neutrosophic numerical components and neutrosophic literal components, neutrosophic numbers, etc. We construct examples of splitting the literal indeterminacy (I) into literal subindeterminacies (I1, I2, and so on, Ir), and to define a multiplication law of these literal subindeterminacies in order to be able to build refined I neutrosophic algebraic structures. We define three neutrosophic actions and their properties. We then introduce the prevalence order on T,I,F with respect to a given neutrosophic operator. And the refinement of neutrosophic entities A, neutA, and antiA. Then we extend the classical logical operators to neutrosophic literal (symbolic) logical operators and to refined literal (symbolic) logical operators, and we define the refinement neutrosophic literal (symbolic) space. We introduce the neutrosophic quadruple numbers (a+bT+cI+dF) and the refined neutrosophic quadruple numbers. Then we define an absorbance law, based on a prevalence order, in order to multiply the neutrosophic quadruple numbers.

from cs.AI updates on arXiv.org http://ift.tt/1Tt5w8H
via IFTTT

Inferring Interpersonal Relations in Narrative Summaries. (arXiv:1512.00112v1 [cs.CL])

Characterizing relationships between people is fundamental for the understanding of narratives. In this work, we address the problem of inferring the polarity of relationships between people in narrative summaries. We formulate the problem as a joint structured prediction for each narrative, and present a model that combines evidence from linguistic and semantic features, as well as features based on the structure of the social community in the text. We also provide a clustering-based approach that can exploit regularities in narrative types. e.g., learn an affinity for love-triangles in romantic stories. On a dataset of movie summaries from Wikipedia, our structured models provide more than a 30% error-reduction over a competitive baseline that considers pairs of characters in isolation.

from cs.AI updates on arXiv.org http://ift.tt/1lWmzFe
via IFTTT

Learning Using 1-Local Membership Queries. (arXiv:1512.00165v1 [cs.LG])

Classic machine learning algorithms learn from labelled examples. For example, to design a machine translation system, a typical training set will consist of English sentences and their translation. There is a stronger model, in which the algorithm can also query for labels of new examples it creates. E.g, in the translation task, the algorithm can create a new English sentence, and request its translation from the user during training. This combination of examples and queries has been widely studied. Yet, despite many theoretical results, query algorithms are almost never used. One of the main causes for this is a report (Baum and Lang, 1992) on very disappointing empirical performance of a query algorithm. These poor results were mainly attributed to the fact that the algorithm queried for labels of examples that are artificial, and impossible to interpret by humans.

In this work we study a new model of local membership queries (Awasthi et al., 2012), which tries to resolve the problem of artificial queries. In this model, the algorithm is only allowed to query the labels of examples which are close to examples from the training set. E.g., in translation, the algorithm can change individual words in a sentence it has already seen, and then ask for the translation. In this model, the examples queried by the algorithm will be close to natural examples and hence, hopefully, will not appear as artificial or random. We focus on 1-local queries (i.e., queries of distance 1 from an example in the training sample). We show that 1-local membership queries are already stronger than the standard learning model. We also present an experiment on a well known NLP task of sentiment analysis. In this experiment, the users were asked to provide more information than merely indicating the label. We present results that illustrate that this extra information is beneficial in practice.

from cs.AI updates on arXiv.org http://ift.tt/21tDE9V
via IFTTT

LSTM Neural Reordering Feature for Statistical Machine Translation. (arXiv:1512.00177v1 [cs.CL])

Artificial neural networks are powerful models, which have been widely applied into many aspects of machine translation, such as language modeling and translation modeling. Though notable improvements have been made in these areas, the reordering problem still remains a challenge in statistical machine translations. In this paper, we present a novel neural reordering model that directly models word pairs and alignment. By utilizing LSTM recurrent neural networks, much longer context could be learned for reordering prediction. Experimental results on NIST OpenMT12 Arabic-English and Chinese-English 1000-best rescoring task show that our LSTM neural reordering feature is robust and achieves significant improvements over various baseline systems.

from cs.AI updates on arXiv.org http://ift.tt/1Tt5y0j
via IFTTT

Evaluating Morphological Computation in Muscle and DC-motor Driven Models of Human Hopping. (arXiv:1512.00250v1 [cs.AI])

In the context of embodied artificial intelligence, morphological computation refers to processes which are conducted by the body (and environment) that otherwise would have to be performed by the brain. Exploiting environmental and morphological properties is an important feature of embodied systems. The main reason is that it allows to significantly reduce the controller complexity. An important aspect of morphological computation is that it cannot be assigned to an embodied system per se, but that it is, as we show, behavior- and state-dependent. In this work, we evaluate two different measures of morphological computation that can be applied in robotic systems and in computer simulations of biological movement. As an example, these measures were evaluated on muscle and DC-motor driven hopping models. We show that a state-dependent analysis of the hopping behaviors provides additional insights that cannot be gained from the averaged measures alone. This work includes algorithms and computer code for the measures.

from cs.AI updates on arXiv.org http://ift.tt/21tDE9J
via IFTTT

A Hybrid Intelligent Model for Software Cost Estimation. (arXiv:1512.00306v1 [cs.SE])

Accurate software development effort estimation is critical to the success of software projects. Although many techniques and algorithmic models have been developed and implemented by practitioners, accurate software development effort prediction is still a challenging endeavor in the field of software engineering, especially in handling uncertain and imprecise inputs and collinear characteristics. In this paper, a hybrid in-telligent model combining a neural network model integrated with fuzzy model (neuro-fuzzy model) has been used to improve the accuracy of estimating software cost. The performance of the proposed model is assessed by designing and conducting evaluation with published project and industrial data. Results have shown that the proposed model demonstrates the ability of improving the estimation accuracy by 18% based on the Mean Magnitude of Relative Error (MMRE) criterion.

from cs.AI updates on arXiv.org http://ift.tt/1Tt5vSk
via IFTTT

Taxonomy grounded aggregation of classifiers with different label sets. (arXiv:1512.00355v1 [cs.AI])

We describe the problem of aggregating the label predictions of diverse classifiers using a class taxonomy. Such a taxonomy may not have been available or referenced when the individual classifiers were designed and trained, yet mapping the output labels into the taxonomy is desirable to integrate the effort spent in training the constituent classifiers. A hierarchical taxonomy representing some domain knowledge may be different from, but partially mappable to, the label sets of the individual classifiers. We present a heuristic approach and a principled graphical model to aggregate the label predictions by grounding them into the available taxonomy. Our model aggregates the labels using the taxonomy structure as constraints to find the most likely hierarchically consistent class. We experimentally validate our proposed method on image and text classification tasks.

from cs.AI updates on arXiv.org http://ift.tt/21tDDTt
via IFTTT

A New Approach for Scalable Analysis of Microbial Communities. (arXiv:1512.00397v1 [q-bio.GN])

Microbial communities play important roles in the function and maintenance of various biosystems, ranging from human body to the environment. Current methods for analysis of microbial communities are typically based on taxonomic phylogenetic alignment using 16S rRNA metagenomic or Whole Genome Sequencing data. In typical characterizations of microbial communities, studies deal with billions of micobial sequences, aligning them to a phylogenetic tree. We introduce a new approach for the efficient analysis of microbial communities. Our new reference-free analysis tech- nique is based on n-gram sequence analysis of 16S rRNA data and reduces the processing data size dramatically (by 105 fold), without requiring taxonomic alignment. The proposed approach is applied to characterize phenotypic microbial community differ- ences in different settings. Specifically, we applied this approach in classification of microbial com- munities across different body sites, characterization of oral microbiomes associated with healthy and diseased individuals, and classification of microbial communities longitudinally during the develop- ment of infants. Different dimensionality reduction methods are introduced that offer a more scalable analysis framework, while minimizing the loss in classification accuracies. Among dimensionality re- duction techniques, we propose a continuous vector representation for microbial communities, which can widely be used for deep learning applications in microbial informatics.

from cs.AI updates on arXiv.org http://ift.tt/1Tt5xK3
via IFTTT

Fast k-Nearest Neighbour Search via Dynamic Continuous Indexing. (arXiv:1512.00442v1 [cs.DS])

Existing methods for retrieving k-nearest neighbours suffer from the curse of dimensionality. We argue this is caused in part by inherent deficiencies of space partitioning, which is the underlying strategy used by almost all existing methods. We devise a new strategy that avoids partitioning the vector space and present a novel randomized algorithm that runs in time linear in dimensionality and sub-linear in the size of the dataset and takes space constant in dimensionality and linear in the size of the dataset. The proposed algorithm allows fine-grained control over accuracy and speed on a per-query basis, automatically adapts to variations in dataset density, supports dynamic updates to the dataset and is easy-to-implement. We show appealing theoretical properties and demonstrate empirically that the proposed algorithm outperforms locality-sensitivity hashing (LSH) in terms of approximation quality and speed.

from cs.AI updates on arXiv.org http://ift.tt/1OEnOCm
via IFTTT

Efficient local search limitation strategy for single machine total weighted tardiness scheduling with sequence-dependent setup times. (arXiv:1501.05882v3 [cs.AI] UPDATED)

This paper concerns the single machine total weighted tardiness scheduling with sequence-dependent setup times, usually referred as $1|s_{ij}|\sum w_jT_j$. In this $\mathcal{NP}$-hard problem, each job has an associated processing time, due date and a weight. For each pair of jobs $i$ and $j$, there may be a setup time before starting to process $j$ in case this job is scheduled immediately after $i$. The objective is to determine a schedule that minimizes the total weighted tardiness, where the tardiness of a job is equal to its completion time minus its due date, in case the job is completely processed only after its due date, and is equal to zero otherwise. Due to its complexity, this problem is most commonly solved by heuristics. The aim of this work is to develop a simple yet effective limitation strategy that speeds up the local search procedure without a significant loss in the solution quality. Such strategy consists of a filtering mechanism that prevents unpromising moves to be evaluated. The proposed strategy has been embedded in a local search based metaheuristic from the literature and tested in classical benchmark instances. Computational experiments revealed that the limitation strategy enabled the metaheuristic to be extremely competitive when compared to other algorithms from the literature, since it allowed the use of a large number of neighborhood structures without a significant increase in the CPU time and, consequently, high quality solutions could be achieved in a matter of seconds. In addition, we analyzed the effectiveness of the proposed strategy in two other well-known metaheuristics. Further experiments were also carried out on benchmark instances of problem $1|s_{ij}|\sum T_j$.

from cs.AI updates on arXiv.org http://ift.tt/1zLuHwX
via IFTTT

Amazon Anonymous in Christmas campaign appeal

Campaign group Amazon Anonymous has launched a 'cheeky' appeal to expose Amazon's tax dodging. The small group of volunteers who "like to ...

from Google Alert - anonymous http://ift.tt/1TsXLzI
via IFTTT

anonymous,uncategorized,misc,general,other

Nutritional guidance is supplied to all participants. In addition to obtaining the training right it is also necessary to understand just how we fuel our ...

from Google Alert - anonymous http://ift.tt/1OvfsyB
via IFTTT

Donate today and your gift will be TRIPLED!

Yellowstone Park Foundation Unable to view the message below? View it online Dear Kathryn,Today, December 1st, join others across the country to celebrate #GivingTuesday, a day dedicated to generosity and giving back. All gifts made online to the Yellowstone Park Foundation on December 1st will TRIPLE in value!Thanks to a Matching Gift Challenge from our Board of Directors, your #GivingTuesday gift will go three times as far in supporting our efforts to protect, preserve and enhance Yellowstone now and into the new year.Your gift of $50 = $150.If you give $100, it will triple to $300!Don't let this amazing opportunity slip by, donate to support the good works of the Yellowstone Park Foundation. Your gift will have a tremendous impact in protecting and preserving Yellowstone’s wildlife, landscapes, history and visitor experience.Thank you,Karen B. KressPresidentP.S. Please forward this email to family, friends, neighbors and co-workers to spread the word about #GivingTuesday. Together, let’s celebrate this international day of giving to support something you really believe in! Share this message>> P.S. Don't forget to check out our updated Yellowstone Gift Guide for last minute ideas for the Yellowstone lover on your list.             Consider donating appreciated stock:DTC (Electronic Transfer of Securities):Bank: SEI Private Trust FBO TIAA-CREFDTC #    2039Agent Internal Account: 11129-CFor further credit to:Yellowstone Park Fd Inc.Account # 882288801Examine all the benefits  Thank you for your support! Photo: Tom Murphy  .    Unsubscribe | Forward to a Friend | Visit our web site © 2010 Yellowstone Park Foundation. All rights reserved.222 East Main Street, Suite 301, Bozeman, MT 59715 tel: 406.586.6303 fax: 406.586.6337 CONNECT WITH US Keep updated on all things YPF! Site Design By Charity Dynamics nonprofit software

Source: Gmail -> IFTTT-> Blogger

Ravens: Baltimore (4-7) up five spots to No. 25 in Week 13 NFL power rankings; open here for full rankings (ESPN)

from ESPN http://ift.tt/17lH5T2
via IFTTT

I have a new follower on Twitter

Bradley Milner



Following: 1952 - Followers: 244

December 01, 2015 at 10:17AM via Twitter http://twitter.com/milner_bradley

ISS Daily Summary Report – 11/30/15

Cygnus Offset Grapple On-Board Training (OBT):  In preparation for Cygnus arrival planned for December 6th, the USOS crew practiced vehicle captures with the Space Station Remote Manipulator System (SSRMS) which was located at the Permanent Multipurpose Module (PMM) Flight Releasable Grapple Fixture (FRGF) High Hover position in preparation for the training. Following the training, the crew participated in a conference with ground teams.   Crew Departure Preparation:  Yui continued packing his personal items in preparation for his return to Earth scheduled for December 11th.   Microbiome:  For his Return Minus 14 day Microbiome session, Lindgren collected body samples yesterday and today.  He answered survey questionnaires yesterday and Saturday and collected surface samples today.  Microbiome investigates the impact of space travel on both the human immune system and an individual’s microbiome (the collection of microbes that live in and on the human body at any given time).   Veggie (Veg-01):  Kelly refilled the Veg-01 plant pillows with water on Saturday.  The Veg-01 investigation is used to assess on-orbit function and performance of the Veggie facility, focusing on the growth and development of seedlings in the spaceflight environment and the composition of microbial flora on the plants and the facility.  For this run, Zinnias will be grown for 60 days and are expected to produce flowers.   Habitability:  Kelly documented his recent observations related to human factors and habitability for the Habitability investigation.  Habitability assesses the relationship between crew members and their environment to better prepare for future long-duration spaceflights to destinations such as near earth asteroids and Mars. Observations recorded during 6 month and 1 year missions can help spacecraft designers determine how much habitable volume is required, and whether a mission’s duration impacts how much space crew members need.   Sleep Log:  Kelly recorded a Sleep Log entry today after waking. The Sleep ISS-12 experiment monitors ambient light exposure and crew member activity and collects subjective evaluations of sleep and alertness.  The investigation examines the effects of space flight and ambient light exposure on sleep during a year-long mission on the ISS.   Crew Quarters (CQ) Cleaning:  Yui cleaned his deck CQ including intake and exhaust ducts, fans and airflow sensors.   Today’s Planned Activities All activities were completed unless otherwise noted. BIOME – questionnaire and sample draw HRF- sample insertion in MELFI Tagup with Search and Rescue team specialists for the returning crew СОЖ Maintenance CMS ops for harmful contaminant measurements in SМ “KENTAVR” Sizing RWS setup OASIS – Equipment  handover Video Footage recording for Roscosmos OASIS – Equipment  handover BIOME – sample draw OBT – procedure review for Cygnus rendezvous and birthing COSMOCARD. Prep, start of daily EKG recording HRF- sample insertion in MELFI BIOME – hardware stow DAN. Experiment Ops DAN. Assistance with experiment Ops Flushing B1 connector of RODNIK БВ1 tank of Progress 429 (SM Aft) Crew Quarters – housekeeping HABIT – video recording МАТRESHKA-R. “LULIN-5″ data check BIOME – prep for sweat sample collection Prep time for return to Earth HABIT – video voiceover Video Footage for TV science channel NAUKA 2.0 PE data downlink via ОСА BIOME – sweat sample collection HRF- sample insertion in MELFI Sample collection in GSC container Packing of personal medical kits Video Footage for TV science channel NAUKA 2.0 Item prep for return on Soyuz 717 OBT 1 for Cygnus capture WRS. Liquid waste tank drain OBT 1 for Cygnus capture Individual protection gear ИПК-1М R&R in FGB #03(00065633R, ФГБ1ПГО), #04 (00065635R,ФГБ1ПГО_4_410), #07 (00065634R, ФГБ1ПГО_2_229) OBT- conference on SSRMS run results CALCIUM. Prep for Experiment session 16 Prep time for return to Earth US item prep for placing in Soyuz 43S (№717) IMS update Item prep for return on Soyuz 717 Evening Work Prep HRF- hardware prep for urine sample collection Prep time for return to Earth BIOME – surface sample collection Evening Work Prep HRF- sample insertion in MELFI BIOME – hardware stowage Evening Work Prep RWS deactivation Preparation of Reports for Roscosmos Web Site and Social Media ECON-M. Observations and Photography URAGAN. Observations and Photography Video Footage for VGTRK TV Network Personal data prep for return. Installation of inserts to ease opening of SM interior panel locks (Unstow kit Элементы конструкции (Structural Elements) (004890R), ФГБ1ПГО_4_427_1, СТВ No.1112 (004106J)   Completed Task List Items None   Ground Activities All activities were completed unless otherwise noted. MSS Powerup SSRMS ACBM survey MSS powerdown   Three-Day Look Ahead: Tuesday, 12:01 Ocular Health, SM Water Sample Collection, Cygnus Attached Phase OBT, 43S Pre-Pack, JAXA ELF Video Wednesday, 12/02: Ocular Health, CBCS Install, Cygnus Cargo Ops Conf, Crew Departure Prep, Fundoscope Thursday, 12/03: Orbital ATK 4 Launch , Ocular Health, CARDOX, Soyuz Descent OBT   QUICK ISS Status – Environmental Control Group:                               Component Status Elektron On Vozdukh Manual [СКВ] 1 – SM Air Conditioner System (“SKV1”) On [СКВ] 2 – SM Air Conditioner System (“SKV2”) Off Carbon Dioxide Removal Assembly (CDRA) Lab Standby Carbon Dioxide Removal Assembly (CDRA) Node 3 Operate Major Constituent Analyzer (MCA) Lab Shutdown Major Constituent Analyzer (MCA) Node 3 Operate Oxygen Generation Assembly (OGA) Process Urine Processing Assembly (UPA) Normal Trace Contaminant Control System (TCCS) Lab Full Up Trace Contaminant Control System (TCCS) Node 3 Off  

from ISS On-Orbit Status Report http://ift.tt/1l4XebR
via IFTTT

I have a new follower on Twitter

Santa Claus
Having a well earned break after 2014’s effort, will be back sometime in September for #Christmas #2015 :) #xmas


Following: 12273 - Followers: 23222

December 01, 2015 at 08:02AM via Twitter http://twitter.com/AmazingSanta

Pro PoS — This Stealthy Point-of-Sale Malware Could Steal Your Christmas

The point of Sale systems are the most tempting target for cyber crooks to steal your credit card information and with this Christmas, you need to be more careful while using your credit cards at retailers and grocery stores. Here's why… Cyber criminals are now selling a new powerful strain of Point of Sale (PoS) malware through underground forums. Like several POS malware families

from The Hacker News http://ift.tt/1XDSDct
via IFTTT

I have a new follower on Twitter

Surfholidays.com
Accommodation & Surf Guiding/Lessons in the World's best surf locations.
Global
http://t.co/w84uWpmQ0T
Following: 5124 - Followers: 6634

December 01, 2015 at 06:29AM via Twitter http://twitter.com/surfholidays

WhatsApp Blocks Links to Telegram Messenger (Its biggest Competitor)

It seems like Facebook-owned popular messaging service WhatsApp is blocking links to rival messaging applications – at least Telegram app for now. Telegram users are noticing that WhatsApp is blocking any links to the privacy-oriented messaging service Telegram.me. Although users are free to send or receive Telegram links on WhatsApp, the links appear as non-clickable that you cannot

from The Hacker News http://ift.tt/1jwGBnG
via IFTTT

Ocean City, MD's surf is at least 5.15ft high

Maryland-Delaware, December 06, 2015 at 08:00AM

Ocean City, MD Summary
At 2:00 AM, surf min of 3.91ft. At 8:00 AM, surf min of 5.15ft. At 2:00 PM, surf min of 5.06ft. At 8:00 PM, surf min of 4.44ft.

Surf maximum: 6.15ft (1.88m)
Surf minimum: 5.15ft (1.57m)
Tide height: 1.2ft (0.37m)
Wind direction: NW
Wind speed: 6.55 KTS


from Surfline http://ift.tt/1kVmigH
via IFTTT

Toymaker VTech Hack Exposes 4.8 Million Customers, including Photos of Children

Earlier this month, a massive data breach at VTech – the maker of tablets and gadgets aimed at children – exposed the personal details of about 4.8 Million parents and photos of more than 200,000 Children. If that was not bad enough… …it turns out that the massive cyber attack against the toymaker company also left hundreds of thousands of snaps of parents and children, as well as a

from The Hacker News http://ift.tt/1l4shVf
via IFTTT

In the Center of Spiral Galaxy NGC 3521

This huge swirling mass of stars, gas, and dust occurs near the center of a nearby spiral galaxy. Gorgeous spiral NGC 3521 is a mere 35 million light-years distant, toward the constellation Leo. Spanning some 50,000 light-years, its central region is shown in this dramatic image, constructed from data from the Hubble Space Telescope. The close-up view highlights this galaxy's characteristic multiple, patchy, irregular spiral arms laced with dust and clusters of young, blue stars. In contrast, many other spirals exhibit grand, sweeping arms. A relatively bright galaxy in planet Earth's sky, NGC 3521 is easily visible in small telescopes, but often overlooked by amateur imagers in favor of other Leo spiral galaxies, like M65 and M66. via NASA http://ift.tt/1YDaWkq

Ravens: With the game on the line, it was the special teams play that \"saved the day\" for Baltimore - Jamison Hensley (ESPN)

from ESPN http://ift.tt/17lH5T2
via IFTTT

NFL Video: Ravens Will Hill reacts to returning blocked FG for the game winning TD; \"I was just praying for a block\" (ESPN)

from ESPN http://ift.tt/17lH5T2
via IFTTT

NFL: Ravens block a FG, return it 64-yards for the game winning TD as time expires; Baltimore defeats Cleveland 33-27 (ESPN)

from ESPN http://ift.tt/17lH5T2
via IFTTT

NFL: Ravens block a FG, return it 64-yards for the game winning TD as time expires; Baltimore defeats Cleveland 33-27 (ESPN)

from ESPN http://ift.tt/17lH5T2
via IFTTT

anonymous,uncategorized,misc,general,other

Shanna, her FBBC group, and her customers will commemorate the? My web page ... 1-on-1 personal training ...

from Google Alert - anonymous http://ift.tt/1TpN2pM
via IFTTT

Ravens: TE Maxx Williams has been ruled out for the remainder of the game with a concussion; live on ESPN/WatchESPN (ESPN)

from ESPN http://ift.tt/17lH5T2
via IFTTT

Anonymous

Anonymous. The young man whose face is blurred because he is 29 years old and lives in a high-risk area makes a living by chopping wood that he ...

from Google Alert - anonymous http://ift.tt/1QQGqlP
via IFTTT

NFL Video: Ravens WR Kaelin Clay returns a punt up the sideline for an 82-yard TD; Baltimore leads Cleveland 7-0 on ESPN (ESPN)

from ESPN http://ift.tt/17lH5T2
via IFTTT

Ravens take on division rival Browns at 8:30 pm ET on ESPN/WatchESPN; Baltimore lost to Cleveland 33-30 in Week 5 (ESPN)

from ESPN http://ift.tt/17lH5T2
via IFTTT

Ravens take on division rival Browns at 8:30 pm ET on ESPN/WatchESPN; Baltimore lost to Cleveland 33-30 in Week 5 (ESPN)

from ESPN http://ift.tt/17lH5T2
via IFTTT

Browns take on division rival Ravens at 8:30 pm ET on ESPN/WatchESPN; Cleveland defeated Baltimore 33-30 in Week 5 (ESPN)

from ESPN http://ift.tt/17lH5T2
via IFTTT

HIV and AIDS

Learn about the human immunodeficiency virus (HIV) and the illness that it causes called acquired immune deficiency syndrome (AIDS).

from Google Alert - anonymous http://ift.tt/1IkQFvT
via IFTTT

Semantic Folding Theory And its Application in Semantic Fingerprinting. (arXiv:1511.08855v1 [cs.AI])

Human language is recognized as a very complex domain since decades. No computer system has been able to reach human levels of performance so far. The only known computational system capable of proper language processing is the human brain. While we gather more and more data about the brain, its fundamental computational processes still remain obscure. The lack of a sound computational brain theory also prevents the fundamental understanding of Natural Language Processing. As always when science lacks a theoretical foundation, statistical modeling is applied to accommodate as many sampled real-world data as possible. An unsolved fundamental issue is the actual representation of language (data) within the brain, denoted as the Representational Problem. Starting with Jeff Hawkins' Hierarchical Temporal Memory (HTM) theory, a consistent computational theory of the human cortex, we have developed a corresponding theory of language data representation: The Semantic Folding Theory. The process of encoding words, by using a topographic semantic space as distributional reference frame into a sparse binary representational vector is called Semantic Folding and is the central topic of this document. Semantic Folding describes a method of converting language from its symbolic representation (text) into an explicit, semantically grounded representation that can be generically processed by Hawkins' HTM networks. As it turned out, this change in representation, by itself, can solve many complex NLP problems by applying Boolean operators and a generic similarity function like the Euclidian Distance. Many practical problems of statistical NLP systems, like the high cost of computation, the fundamental incongruity of precision and recall , the complex tuning procedures etc., can be elegantly overcome by applying Semantic Folding.

from cs.AI updates on arXiv.org http://ift.tt/1l3NI94
via IFTTT

Column-Oriented Datalog Materialization for Large Knowledge Graphs (Extended Technical Report). (arXiv:1511.08915v1 [cs.DB])

The evaluation of Datalog rules over large Knowledge Graphs (KGs) is essential for many applications. In this paper, we present a new method of materializing Datalog inferences, which combines a column-based memory layout with novel optimization methods that avoid redundant inferences at runtime. The pro-active caching of certain subqueries further increases efficiency. Our empirical evaluation shows that this approach can often match or even surpass the performance of state-of-the-art systems, especially under restricted resources.

from cs.AI updates on arXiv.org http://ift.tt/1SsW2K1
via IFTTT

Bootstrapping Ternary Relation Extractors. (arXiv:1511.08952v1 [cs.CL])

Binary relation extraction methods have been widely studied in recent years. However, few methods have been developed for higher n-ary relation extraction. One limiting factor is the effort required to generate training data. For binary relations, one only has to provide a few dozen pairs of entities per relation, as training data. For ternary relations (n=3), each training instance is a triplet of entities, placing a greater cognitive load on people. For example, many people know that Google acquired Youtube but not the dollar amount or the date of the acquisition and many people know that Hillary Clinton is married to Bill Clinton by not the location or date of their wedding. This makes higher n-nary training data generation a time consuming exercise in searching the Web. We present a resource for training ternary relation extractors. This was generated using a minimally supervised yet effective approach. We present statistics on the size and the quality of the dataset.

from cs.AI updates on arXiv.org http://ift.tt/1NZdv97
via IFTTT

Robotic Search & Rescue via Online Multi-task Reinforcement Learning. (arXiv:1511.08967v1 [cs.AI])

Reinforcement learning (RL) is a general and well-known method that a robot can use to learn an optimal control policy to solve a particular task. We would like to build a versatile robot that can learn multiple tasks, but using RL for each of them would be prohibitively expensive in terms of both time and wear-and-tear on the robot. To remedy this problem, we use the Policy Gradient Efficient Lifelong Learning Algorithm (PG-ELLA), an online multi-task RL algorithm that enables the robot to efficiently learn multiple consecutive tasks by sharing knowledge between these tasks to accelerate learning and improve performance. We implemented and evaluated three RL methods--Q-learning, policy gradient RL, and PG-ELLA--on a ground robot whose task is to find a target object in an environment under different surface conditions. In this paper, we discuss our implementations as well as present an empirical analysis of their learning performance.

from cs.AI updates on arXiv.org http://ift.tt/1l3NJd9
via IFTTT

Solving Transition-Independent Multi-agent MDPs with Sparse Interactions (Extended version). (arXiv:1511.09047v1 [cs.AI])

In cooperative multi-agent sequential decision making under uncertainty, agents must coordinate to find an optimal joint policy that maximises joint value. Typical algorithms exploit additive structure in the value function, but in the fully-observable multi-agent MDP setting (MMDP) such structure is not present. We propose a new optimal solver for transition-independent MMDPs, in which agents can only affect their own state but their reward depends on joint transitions. We represent these dependencies compactly in conditional return graphs (CRGs). Using CRGs the value of a joint policy and the bounds on partially specified joint policies can be efficiently computed. We propose CoRe, a novel branch-and-bound policy search algorithm building on CRGs. CoRe typically requires less runtime than the available alternatives and finds solutions to problems previously unsolvable.

from cs.AI updates on arXiv.org http://ift.tt/1NZdxOa
via IFTTT