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Saturday, August 8, 2015
ko-anonymous
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Ravens: DE Brent Urban will need surgery for a torn biceps; missed his rookie season in 2014 with torn ACL (ESPN)
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I have a new follower on Twitter
Teenage Dream
Me: Exercise Me: Exercis Me: Exerci Me: Exerc Me: Exer Me: Exe Me: Ex Me: Extra fries
Wichita
Following: 2642 - Followers: 2738
August 08, 2015 at 05:32PM via Twitter http://twitter.com/TeensDreamWorld
Monaco beats ten-man Nice Nice 2-1 in French league
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[FD] Pineapple autopwn script 2.3.0 or lower versions.
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Orioles: P Bud Norris (2-9, 7.06 ERA) released; team responsible for roughly $2.85M remaining on his contract (ESPN)
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Boat parade in Brazil protests pollution in Olympic venue
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10-man Chelsea held 2-2 by Swansea, Man United edges Spurs
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Man United edges Spurs, flying starts for Leicester, Palace
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Leicester beats Sunderland 4-2 in Premier League
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Losing start for Bournemouth as Villa grabs late 1-0 win
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Ronaldo, Ramos to miss Real Madrid friendly with injuries
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RollJam — $30 Device That Unlocks Almost Any Car And Garage Door
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Researchers to Share Details of Cyber-Terrorists Targeting Indian Government Officials
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Lacazette extends Lyon deal
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Madrid defender Pepe injured before season opener
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How Drones Can Find and Hack Internet-of-Things Devices From the Sky
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Orioles Video: Jonathan Schoop, Matt Wieters homer, but Kevin Gausman allows 6 R in 5.2 IP in 8-4 loss to Angels (ESPN)
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Full Earth, Full Moon
Friday, August 7, 2015
Faceless hooded anonymous computer hacker
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Orioles: OF Junior Lake recalled from Triple-A Norfolk; OF Travis Snider designated for assignment (ESPN)
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Re: [FD] Mozilla extensions: a security nightmare
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South America soccer backs Michel Platini as FIFA president
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Playoff soccer game between US and Mexico at Rose Bowl
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FIFA opens internal corruption investigation amid scandals
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While Lowe hosts Premier League, husband coaches US 3rd tier
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FIFA opens internal corruption investigation amid scandals
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Augsburg, Darmstadt advance in German Cup
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PSG starts French league season with 1-0 win at Lille
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Capcha for anonymous user in Add content administration
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[FD] Use After Free Vulnerability in unserialize() with SplObjectStorage
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[FD] Use After Free Vulnerability in unserialize() with SplDoublyLinkedList
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[FD] Use After Free Vulnerability in unserialize() with SPL ArrayObject
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Button upload hidden for anonymous and registered users
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[FD] Ferrari - PHP CGI Argument Injection (RCE) Vulnerability
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CONCACAF fires top official Sanz over FIFA bribery claims
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"Certifi-Gate" Android Vulnerability Lets Hackers Take Complete Control of Your Device
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UEFA: Former IOC official candidate to lead FIFA task force
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Comments not visible for Anonymous users
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ISS Daily Summary Report – 08/6/15
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Windows Updates Can be Intercepted to Inject Malware into Corporate Networks
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Eintracht Frankfurt signs Finland goalkeeper Lukas Hradecky
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Dortmund drawn against Odds in Europa League playoff
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Anonymous on Twitter: "#Anonymous is the New KKK, Say #BlackLivesMatter Leaders http://t.co ...
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Warning! Update Mozilla Firefox to Patch Critical File Stealing Vulnerability
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Self-Service Bank Passbook Printing Machines Leak Customers Financial Details
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Man City manager Pellegrini given extra year to 2017
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Man United to face Bruges in Champions League playoffs
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Microsoft Open-Sources Tool for Porting iOS Apps to Windows
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Anonymous load takes LONGER than authenticated!
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Web Encryption Protocol That Even Quantum Computers Can't Crack
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Russia appoints CSKA's Leonid Slutsky as new national coach
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[FD] SCADA with antenna
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Stereo Pluto
Thursday, August 6, 2015
Ravens: 'Is Joe Flacco elite' sign crashed Republican debate at Cleveland's Quicken Loans Arena on Thursday night (ESPN)
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Re: [FD] Security Advisory - "Cross-VM ASL INtrospection (CAIN)"
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Replication and Generalization of PRECISE. (arXiv:1508.01306v1 [cs.CL])
This report describes an initial replication study of the PRECISE system and develops a clearer, more formal description of the approach. Based on our evaluation, we conclude that the PRECISE results do not fully replicate. However the formalization developed here suggests a road map to further enhance and extend the approach pioneered by PRECISE.
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Fuzzy Logic Based Direct Torque Control Of Induction Motor With Space Vector Modulation. (arXiv:1508.01345v1 [cs.SY])
The induction motors have wide range of applications for due to its well-known advantages like brushless structures, low costs and robust performances. Over the past years, many kind of control methods are proposed for the induction motors and direct torque control has gained huge importance inside of them due to fast dynamic torque responses and simple control structures. However, the direct torque control method has still some handicaps against the other control methods and most of the important of these handicaps is high torque ripple. This paper suggests a new approach, Fuzzy logic based space vector modulation, on the direct torque controlled induction motors and aim of the approach is to overcome high torque ripple disadvantages of conventional direct torque control. In order to test and compare the proposed direct torque control method with conventional direct torque control method simulations, in Matlab/Simulink,have been carried out in different working conditions. The simulation results showed that a significant improvement in the dynamic torque and speed responses when compared to the conventional direct torque control method.
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Using Linguistic Analysis to Translate Arabic Natural Language Queries to SPARQL. (arXiv:1508.01447v1 [cs.CL])
The logic-based machine-understandable framework of the Semantic Web often challenges naive users when they try to query ontology-based knowledge bases. Existing research efforts have approached this problem by introducing Natural Language (NL) interfaces to ontologies. These NL interfaces have the ability to construct SPARQL queries based on NL user queries. However, most efforts were restricted to queries expressed in English, and they often benefited from the advancement of English NLP tools. However, little research has been done to support querying the Arabic content on the Semantic Web by using NL queries. This paper presents a domain-independent approach to translate Arabic NL queries to SPARQL by leveraging linguistic analysis. Based on a special consideration on Noun Phrases (NPs), our approach uses a language parser to extract NPs and the relations from Arabic parse trees and match them to the underlying ontology. It then utilizes knowledge in the ontology to group NPs into triple-based representations. A SPARQL query is finally generated by extracting targets and modifiers, and interpreting them into SPARQL. The interpretation of advanced semantic features including negation, conjunctive and disjunctive modifiers is also supported. The approach was evaluated by using two datasets consisting of OWL test data and queries, and the obtained results have confirmed its feasibility to translate Arabic NL queries to SPARQL.
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Predicting Occupancy Trends in Barcelona's Bicycle Service Stations Using Open Data. (arXiv:1505.03662v3 [cs.AI] UPDATED)
In 2008, the CEO of the company that manages and maintains the public bicycle service in Barcelona recognized that one may not expect to always find a place to leave the rented bike nearby their destination, similarly to the case when, driving a car, people may not find a parking lot. In this work, we make predictions about the statuses of the stations of the public bicycle service in Barcelona. We show that it is feasible to correctly predict nearly half of the times when the stations are either completely full of bikes or completely empty, up to 2 days before they actually happen. That is, users might avoid stations at times when they could not return a bicycle that they have rented before, or when they would not find a bike to rent. To achieve that, we apply the Random Forest algorithm to classify the status of the stations and improve the lifetime of the models using publicly available data, such as information about the weather forecast. Finally, we expect that the results of the predictions can be used to improve the quality of the service and make it more reliable for the users.
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Orioles: RHP Jason Garcia reinstated from 60-day DL (4.20 ERA in 9 rehab games); RHP Mychal Givens optioned to Double-A (ESPN)
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Gaza, West Bank teams face off for first match in years
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[FD] Security Advisory - "Cross-VM ASL INtrospection (CAIN)"
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Hackers Can Remotely Steal Fingerprints From Android Phones
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USA Network to air weekly Premier League match this season
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Swiss club fires coach after loss in Champions League qualis
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Bob’s Tips & Tricks (August 2015)
Bob’s Tips & Tricks (August 2015)
Click inside the box below to enlarge.
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Chelsea begins Premier League defense against Swansea
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This Antenna Can Remotely Steal Data From Devices using Sound Waves
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Di Maria signs four-year deal with PSG
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ISS Daily Summary Report – 08/5/15
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African football won't support Bility's FIFA president bid
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Arsene Wenger says Jack Wilshere has cracked left fibula
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Global Internet Authority — ICANN Hacked Again!
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I have a new follower on Twitter
Peter Ohnemus
Founder of @dacadoo, a leading company in quantified health - bringing the Health Score & Life Style Navigation to the mHealth world. Swiss serial entrepreneur.
Zürich, Switzerland
https://t.co/8lmCaCprFU
Following: 17460 - Followers: 21661
August 06, 2015 at 06:20AM via Twitter http://twitter.com/peterohnemus
PSG set to dominate French league, again
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Sunderland signs France midfielder Yann M'Vila on loan
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Dutch winger Eljero Elia joins Feyenoord on free transfer
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Tip — Installing Windows 10? Fix 35+ Privacy Issues With Just One Click
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SSL Encryption — Securing Internet of Things (IoT)
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Germany down to 3rd in FIFA rankings; Argentina still No. 1
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Injured Barcelona defender Alba to miss Super Cups
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Russia's CSKA Moscow punished over abuse of Caucasus fans
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X ray Echoes from Circinus X 1
Wednesday, August 5, 2015
Diego Castro Gimenez to join Perth Glory in Australia league
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I have a new follower on Twitter
Jasmine Arnold
All mankind love a lover.
Jacksonville
Following: 356 - Followers: 176
August 05, 2015 at 10:38PM via Twitter http://twitter.com/jasmine_arnold1
On the Linear Belief Compression of POMDPs: A re-examination of current methods. (arXiv:1508.00986v1 [cs.AI])
Belief compression improves the tractability of large-scale partially observable Markov decision processes (POMDPs) by finding projections from high-dimensional belief space onto low-dimensional approximations, where solving to obtain action selection policies requires fewer computations. This paper develops a unified theoretical framework to analyse three existing linear belief compression approaches, including value-directed compression and two non-negative matrix factorisation (NMF) based algorithms. The results indicate that all the three known belief compression methods have their own critical deficiencies. Therefore, projective NMF belief compression is proposed (P-NMF), aiming to overcome the drawbacks of the existing techniques. The performance of the proposed algorithm is examined on four POMDP problems of reasonably large scale, in comparison with existing techniques. Additionally, the competitiveness of belief compression is compared empirically to a state-of-the-art heuristic search based POMDP solver and their relative merits in solving large-scale POMDPs are investigated.
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Ontology Bulding vs Data Harvesting and Cleaning for Smart-city Services. (arXiv:1508.01083v1 [cs.DB])
Presently, a very large number of public and private data sets are available around the local governments. In most cases, they are not semantically interoperable and a huge human effort is needed to create integrated ontologies and knowledge base for smart city. Smart City ontology is not yet standardized, and a lot of research work is needed to identify models that can easily support the data reconciliation, the management of the complexity and reasoning. In this paper, a system for data ingestion and reconciliation smart cities related aspects as road graph, services available on the roads, traffic sensors etc., is proposed. The system allows managing a big volume of data coming from a variety of sources considering both static and dynamic data. These data are mapped to smart-city ontology and stored into an RDF-Store where they are available for applications via SPARQL queries to provide new services to the users. The paper presents the process adopted to produce the ontology and the knowledge base and the mechanisms adopted for the verification, reconciliation and validation. Some examples about the possible usage of the coherent knowledge base produced are also offered and are accessible from the RDF-Store.
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Km4City Ontology Building vs Data Harvesting and Cleaning for Smart-city Services. (arXiv:1508.01086v1 [cs.DB])
Presently, a very large number of public and private data sets are available from local governments. In most cases, they are not semantically interoperable and a huge human effort would be needed to create integrated ontologies and knowledge base for smart city. Smart City ontology is not yet standardized, and a lot of research work is needed to identify models that can easily support the data reconciliation, the management of the complexity, to allow the data reasoning. In this paper, a system for data ingestion and reconciliation of smart cities related aspects as road graph, services available on the roads, traffic sensors etc., is proposed. The system allows managing a big data volume of data coming from a variety of sources considering both static and dynamic data. These data are mapped to a smart-city ontology, called KM4City (Knowledge Model for City), and stored into an RDF-Store where they are available for applications via SPARQL queries to provide new services to the users via specific applications of public administration and enterprises. The paper presents the process adopted to produce the ontology and the big data architecture for the knowledge base feeding on the basis of open and private data, and the mechanisms adopted for the data verification, reconciliation and validation. Some examples about the possible usage of the coherent big data knowledge base produced are also offered and are accessible from the RDF-Store and related services. The article also presented the work performed about reconciliation algorithms and their comparative assessment and selection.
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A different perspective on a scale for pairwise comparisons. (arXiv:1508.01191v1 [cs.AI])
One of the major challenges for collective intelligence is inconsistency, which is unavoidable whenever subjective assessments are involved. Pairwise comparisons allow one to represent such subjective assessments and to process them by analyzing, quantifying and identifying the inconsistencies.
We propose using smaller scales for pairwise comparisons and provide mathematical and practical justifications for this change. Our postulate's aim is to initiate a paradigm shift in the search for a better scale construction for pairwise comparisons. Beyond pairwise comparisons, the results presented may be relevant to other methods using subjective scales.
Keywords: pairwise comparisons, collective intelligence, scale, subjective assessment, inaccuracy, inconsistency.
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Mining for Causal Relationships: A Data-Driven Study of the Islamic State. (arXiv:1508.01192v1 [cs.CY])
The Islamic State of Iraq and al-Sham (ISIS) is a dominant insurgent group operating in Iraq and Syria that rose to prominence when it took over Mosul in June, 2014. In this paper, we present a data-driven approach to analyzing this group using a dataset consisting of 2200 incidents of military activity surrounding ISIS and the forces that oppose it (including Iraqi, Syrian, and the American-led coalition). We combine ideas from logic programming and causal reasoning to mine for association rules for which we present evidence of causality. We present relationships that link ISIS vehicle-bourne improvised explosive device (VBIED) activity in Syria with military operations in Iraq, coalition air strikes, and ISIS IED activity, as well as rules that may serve as indicators of spikes in indirect fire, suicide attacks, and arrests.
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Orioles Highlight: Chris Davis belts grand slam in 10th inning of 7-3 victory over Athletics (ESPN)
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Bayern beats Real Madrid 1-0 to win Audi Cup friendly
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Orioles Video: Adam Jones talks to Hannah Storm about his tendency to speak his mind - \"It's about what I can impact\" (ESPN)
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[FD] Comment form CSRF in WordPress 4.2.2 allows admin impersonation via comments
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Russia trims World Cup budget again, cuts $2.4 million
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Sporting Lisbon gives up attempt to sign Ghana's Boateng
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Ravens: Team once again insists it did not tip off Colts about the Patriots' game balls prior to AFC Championship Game (ESPN)
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Werder Bremen signs US striker Aron Johannsson
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US women's coach Jill Ellis gets contract extension
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ISS Daily Summary Report – 08/4/15
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Jawbreaker Receive Anonymous $1800 Payment From Apologetic Bootlegger
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[FD] SEC Consult SA-20150805-0 :: Websense Content Gateway Stack Buffer Overflow in handle_debug_network
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Android Vulnerability Traps Devices in 'Endless Reboot Loop'
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I have a new follower on Twitter
Poetry Quotes
Following: 385 - Followers: 206
August 05, 2015 at 04:58AM via Twitter http://twitter.com/PoetryFansHere
Thunderstrike 2: World's First Firmware Worm That Infects Mac Computers Without Detection
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Orioles Video: CF Adam Jones with a web gem, Miguel Gonzalez allows 3 R in 5.1 IP in 5-0 loss to Athletics (ESPN)
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Virgo Cluster Galaxies
The Switzerland of America: Lehigh Valley Railroad by Anonymous
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Tuesday, August 4, 2015
Rainfall Accumulation Across the United States (1/1/2015 - 7/16/2015)
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Global Terrestrial Water Storage Anomaly
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Atmospheric River Reaching California
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MMS Spacecraft Transition to Tetrahedral Flying Formation
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Romario says Brazil probe will question Marin in Switzerland
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WSOD on home page only, for anonymous users
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Hong Kong fans not being shut out of China WCup qualifier
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Adaptivity and Computation-Statistics Tradeoffs for Kernel and Distance based High Dimensional Two Sample Testing. (arXiv:1508.00655v1 [math.ST])
Nonparametric two sample testing is a decision theoretic problem that involves identifying differences between two random variables without making parametric assumptions about their underlying distributions. We refer to the most common settings as mean difference alternatives (MDA), for testing differences only in first moments, and general difference alternatives (GDA), which is about testing for any difference in distributions. A large number of test statistics have been proposed for both these settings. This paper connects three classes of statistics - high dimensional variants of Hotelling's t-test, statistics based on Reproducing Kernel Hilbert Spaces, and energy statistics based on pairwise distances. We ask the question: how much statistical power do popular kernel and distance based tests for GDA have when the unknown distributions differ in their means, compared to specialized tests for MDA?
We formally characterize the power of popular tests for GDA like the Maximum Mean Discrepancy with the Gaussian kernel (gMMD) and bandwidth-dependent variants of the Energy Distance with the Euclidean norm (eED) in the high-dimensional MDA regime. Some practically important properties include (a) eED and gMMD have asymptotically equal power; furthermore they enjoy a free lunch because, while they are additionally consistent for GDA, they also have the same power as specialized high-dimensional t-test variants for MDA. All these tests are asymptotically optimal (including matching constants) under MDA for spherical covariances, according to simple lower bounds, (b) The power of gMMD is independent of the kernel bandwidth, as long as it is larger than the choice made by the median heuristic, (c) There is a clear and smooth computation-statistics tradeoff for linear-time, subquadratic-time and quadratic-time versions of these tests, with more computation resulting in higher power.
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Factor Graphs for Quantum Probabilities. (arXiv:1508.00689v1 [cs.IT])
A factor-graph representation of quantum-mechanical probabilities (involving any number of measurements) is proposed. Unlike standard statistical models, the proposed representation uses auxiliary variables (state variables) that are not random variables. All joint probability distributions are marginals of some complex-valued function q, and it is demonstrated how the basic concepts of quantum mechanics relate to factorizations and marginals of q.
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Predicting respiratory motion for real-time tumour tracking in radiotherapy. (arXiv:1508.00749v1 [cs.AI])
Purpose. Radiation therapy is a local treatment aimed at cells in and around a tumor. The goal of this study is to develop an algorithmic solution for predicting the position of a target in 3D in real time, aiming for the short fixed calibration time for each patient at the beginning of the procedure. Accurate predictions of lung tumor motion are expected to improve the precision of radiation treatment by controlling the position of a couch or a beam in order to compensate for respiratory motion during radiation treatment.
Methods. For developing the algorithmic solution, data mining techniques are used. A model form from the family of exponential smoothing is assumed, and the model parameters are fitted by minimizing the absolute disposition error, and the fluctuations of the prediction signal (jitter). The predictive performance is evaluated retrospectively on clinical datasets capturing different behavior (being quiet, talking, laughing), and validated in real-time on a prototype system with respiratory motion imitation.
Results. An algorithmic solution for respiratory motion prediction (called ExSmi) is designed. ExSmi achieves good accuracy of prediction (error $4-9$ mm/s) with acceptable jitter values (5-7 mm/s), as tested on out-of-sample data. The datasets, the code for algorithms and the experiments are openly available for research purposes on a dedicated website.
Conclusions. The developed algorithmic solution performs well to be prototyped and deployed in applications of radiotherapy.
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Identifying Avatar Aliases in Starcraft 2. (arXiv:1508.00801v1 [cs.AI])
In electronic sports, cyberathletes conceal their online training using different avatars (virtual identities), allowing them not being recognized by the opponents they may face in future competitions. In this article, we propose a method to tackle this avatar aliases identification problem. Our method trains a classifier on behavioural data and processes the confusion matrix to output label pairs which concentrate confusion. We experimented with Starcraft 2 and report our first results.
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Qualitative Decision Methods for Multi-Attribute Decision Making. (arXiv:1508.00879v1 [cs.AI])
The fundamental problem underlying all multi-criteria decision analysis (MCDA) problems is that of dominance between any two alternatives: "Given two alternatives A and B, each described by a set criteria, is A preferred to B with respect to a set of decision maker (DM) preferences over the criteria?". Depending on the application in which MCDA is performed, the alternatives may represent strategies and policies for business, potential locations for setting up new facilities, designs of buildings, etc. The general objective of MCDA is to enable the DM to order all alternatives in order of the stated preferences, and choose the ones that are best, i.e., optimal with respect to the preferences over the criteria. This article presents and summarizes a recently developed MCDA framework that orders the set of alternatives when the relative importance preferences are incomplete, imprecise, or qualitative in nature.
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Problem Theory. (arXiv:1412.1044v5 [cs.AI] UPDATED)
The Turing machine, as it was presented by Turing himself, models the calculations done by a person. This means that we can compute whatever any Turing machine can compute, and therefore we are Turing complete. The question addressed here is why, Why are we Turing complete? Being Turing complete also means that somehow our brain implements the function that a universal Turing machine implements. The point is that evolution achieved Turing completeness, and then the explanation should be evolutionary, but our explanation is mathematical. The trick is to introduce a mathematical theory of problems, under the basic assumption that solving more problems provides more survival opportunities. So we build a problem theory by fusing set and computing theories. Then we construct a series of resolvers, where each resolver is defined by its computing capacity, that exhibits the following property: all problems solved by a resolver are also solved by the next resolver in the series if certain condition is satisfied. The last of the conditions is to be Turing complete. This series defines a resolvers hierarchy that could be seen as a framework for the evolution of cognition. Then the answer to our question would be: to solve most problems. By the way, the problem theory defines adaptation, perception, and learning, and it shows that there are just three ways to resolve any problem: routine, trial, and analogy. And, most importantly, this theory demonstrates how problems can be used to found mathematics and computing on biology.
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Two Timescale Stochastic Approximation with Controlled Markov noise and Off-policy temporal difference learning. (arXiv:1503.09105v4 [math.DS] UPDATED)
We present for the first time an asymptotic convergence analysis of two-timescale stochastic approximation driven by controlled Markov noise. In particular, both the faster and slower recursions have non-additive Markov noise components in addition to martingale difference noise. We analyze the asymptotic behavior of our framework by relating it to limiting differential inclusions in both time-scales that are defined in terms of the invariant probability measures associated with the controlled Markov processes. Finally, we show how to solve the off-policy convergence problem for temporal difference learning with linear function approximation using our results.
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Brazil to play Costa Rica in friendly on Sept 5
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Brazil to play Costa Rica at Red Bull Arena on Sept 5
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Bayern Munich, Real Madrid in final of Audi Cup
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NFL Video: Former Ravens RB Ray Rice says \"I'm a rehabilitated man\" - Watch full ESPN interview on SportsCenter 6 pm ET (ESPN)
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Take the Bob Ross Quiz (August 2015)
Test your knowledge of the Bob Ross TV show, painting techniques and general Bob Ross trivia!
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Bayern Munich, Real Madrid in final of Audi Cup
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AP Interview: Qatar's FM promises best World Cup ever
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US striker Johannsson closing in on transfer to Bremen
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Anonymous hacktivists deface Donald Trump's website with a tribute to Jon Stewart
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Dutch league opener scrapped due to planned police strike
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ISS Daily Summary Report – 08/3/15
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