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Saturday, September 12, 2015
Porto wins 3-1 at Arouca in Portugal
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South American football chief backs Copa Centenario in US
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Twente and Ajax draw 2-2, PSV thrashes Cambuur 6-0
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I have a new follower on Twitter
InXpress
Dramatically reduce your international shipping costs with InXpress's consolidated shipping volume from thousands of businesses under one umbrella.
Scottsdale Arizona
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Following: 1939 - Followers: 1288
September 12, 2015 at 05:20PM via Twitter http://twitter.com/DHL_Discounts
Olympiakos remains unbeaten in Greece, beats Platanias 3-1
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InXpress (@DHL_Discounts) favorited one of your Tweets!
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Young migrants applauded by 75,000 fans at Bundesliga game
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Roma wins 2-0 at Frosinone to move top in Italy
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These Top 30 Ashley Madison Passwords are just as Terrible as You'd Think
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Man City leaves it late to beat Palace 1-0 in Premier League
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Ronaldo hits 5 goals to become Madrid's top scorer in Liga
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Apple Boosts iOS 9 Security with improved Two-Factor Authentication
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Lyon misses chances in 0-0 draw against resilient Lille
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City strikes late after Chelsea slips up in Premier League
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Arsenal beats Stoke 2-0 in Premier League
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Berahino goalless on West Brom return in Southampton draw
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Watford beats Swansea 1-0 for 1st league win of season
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Ronaldo scores 5 goals as Madrid routs Espanyol 6-0
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Bayern beats Augsburg 2-1 last minute, Dortmund wins 4-2
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Young migrants applauded by 75,000 fans before German game
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Russia's slowest WCup stadium starts construction
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Zenit rescues draw against Russian leader CSKA
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Hiroshima beats Yamagata 3-1 to take over J-League lead
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LockerPin Ransomware Resets PIN and Permanently Locks Your SmartPhones
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'Gladbach captain Stranzl out 6-8 weeks with facial injury
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Here's How to Stop Windows 7 or 8 from Downloading Windows 10 Automatically
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DESIGNATED RIGHT TURN LANES TO IMPROVE TRAFFICE FLOW.
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A Giant Squid in the Flying Bat
Orioles Highlight: Baltimore hits 2 grand slams in the 8th inning to put en route to a 14-8 win over the Royals (ESPN)
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Friday, September 11, 2015
Re: [FD] OpenLDAP ber_get_next Denial of Service
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4th loss in 4 games for 'Gladbach after 3-0 loss to Hamburg
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South American football chief backs Copa Centenario in US
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Redirect anonymous users to login when trying to view profile
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Premier League clubs to support migrant appeals
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Swiss league pledges cash for goals to refugees charity
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plone/Products.CMFPlone
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UEFA adds steroid monitoring to anti-doping program
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Microsoft is Auto-Downloading Windows 10 to PCs, Even If You Don't Want it
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Slowed by injuries, Giuseppe Rossi agrees to reduce salary
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Barcelona includes Messi for Atletico match, Pique ruled out
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Wolfsburg inviting 1,200 migrants to Champions League game
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Android Stagefright Exploit Code Released
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Czech defender Limbersky loses club captaincy after crash
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FIFA probes complaint into Chelsea loan of Salah to Roma
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De Gea in spotlight as Man United faces Liverpool
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ISS Daily Summary Report – 09/10/15
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AP Photos: 2018 World Cup host Russia looks for future stars
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[FD] [KIS-2015-04] Magento <= 1.9.2 (catalogProductCreate) Autoloaded File Inclusion Vulnerability
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Health Insurer Excellus Hacked; 10.5 Million Records Breached
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[FD] PayPal Inc - Security Approval & 2FA Session Auth Bypass (API) Vulnerability
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[FD] Magento Bug Bounty #19 - Persistent Filename Vulnerability
Attachments: | "> |
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[FD] Yahoo Bug Bounty #32 - Cross Site Request Forgery bulkImport Web Vulnerability
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Hacker Demonstrated Untethered iOS 9 Jailbreak On Video
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Anonymous Donor Offers Reward for Info in Mutilated Cat Case
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Chung criticizes ruling on Asian support for Platini
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Lockpickers 3D-Printed Master Key for TSA Luggage Locks and BluePrint Leaked Online
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Jackson lends support to Australian team in wage fight
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I have a new follower on Twitter
Paolo Privitera
@Pick1 CEO Know Your Customers - Polyhedric Human Network Router & Serendipity Innovator - part of @StartupChile @500Startups @SingularityU @GalvanizeSF
San Francisco Venezia Santiago
http://t.co/VyULtzE1Hv
Following: 24070 - Followers: 33815
September 11, 2015 at 02:28AM via Twitter http://twitter.com/pppaolo
NGC 4372 and the Dark Doodad
Thursday, September 10, 2015
I have a new follower on Twitter
Evgenij Renke
#StudentPartner @Microsoft #GER, #developer, #ITA
#Aachen
http://t.co/jdTmbGsu99
Following: 946 - Followers: 438
September 10, 2015 at 10:21PM via Twitter http://twitter.com/evgen1j
Coarse-to-Fine Sequential Monte Carlo for Probabilistic Programs. (arXiv:1509.02962v1 [cs.AI])
Many practical techniques for probabilistic inference require a sequence of distributions that interpolate between a tractable distribution and an intractable distribution of interest. Usually, the sequences used are simple, e.g., based on geometric averages between distributions. When models are expressed as probabilistic programs, the models themselves are highly structured objects that can be used to derive annealing sequences that are more sensitive to domain structure. We propose an algorithm for transforming probabilistic programs to coarse-to-fine programs which have the same marginal distribution as the original programs, but generate the data at increasing levels of detail, from coarse to fine. We apply this algorithm to an Ising model, its depth-from-disparity variation, and a factorial hidden Markov model. We show preliminary evidence that the use of coarse-to-fine models can make existing generic inference algorithms more efficient.
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Compatible Value Gradients for Reinforcement Learning of Continuous Deep Policies. (arXiv:1509.03005v1 [cs.LG])
This paper proposes GProp, a deep reinforcement learning algorithm for continuous policies with compatible function approximation. The algorithm is based on two innovations. Firstly, we present a temporal-difference based method for learning the gradient of the value-function. Secondly, we present the deviator-actor-critic (DAC) model, which comprises three neural networks that estimate the value function, its gradient, and determine the actor's policy respectively. We evaluate GProp on two challenging tasks: a contextual bandit problem constructed from nonparametric regression datasets that is designed to probe the ability of reinforcement learning algorithms to accurately estimate gradients; and the octopus arm, a challenging reinforcement learning benchmark. GProp is competitive with fully supervised methods on the bandit task and achieves the best performance to date on the octopus arm.
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Recurrent Reinforcement Learning: A Hybrid Approach. (arXiv:1509.03044v1 [cs.LG])
Successful applications of reinforcement learning in real-world problems often require dealing with partially observable states. It is in general very challenging to construct and infer hidden states as they often depend on the agent's entire interaction history and may require substantial domain knowledge. In this work, we investigate a deep-learning approach to learning the representation of states in partially observable tasks, with minimal prior knowledge of the domain. In particular, we study reinforcement learning with deep neural networks, including RNN and LSTM, which are equipped with the desired property of being able to capture long-term dependency on history, and thus providing an effective way of learning the representation of hidden states. We further develop a hybrid approach that combines the strength of both supervised learning (for representing hidden states) and reinforcement learning (for optimizing control) with joint training. Extensive experiments based on a KDD Cup 1998 direct mailing campaign problem demonstrate the effectiveness and advantages of the proposed approach, which performs the best across the board.
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The World of Combinatorial Fuzzy Problems and the Efficiency of Fuzzy Approximation Algorithms. (arXiv:1509.03057v1 [cs.AI])
We re-examine a practical aspect of combinatorial fuzzy problems of various types, including search, counting, optimization, and decision problems. We are focused only on those fuzzy problems that take series of fuzzy input objects and produce fuzzy values. To solve such problems efficiently, we design fast fuzzy algorithms, which are modeled by polynomial-time deterministic fuzzy Turing machines equipped with read-only auxiliary tapes and write-only output tapes and also modeled by polynomial-size fuzzy circuits composed of fuzzy gates. We also introduce fuzzy proof verification systems to model the fuzzification of nondeterminism. Those models help us identify four complexity classes: Fuzzy-FPA of fuzzy functions, Fuzzy-PA and Fuzzy-NPA of fuzzy decision problems, and Fuzzy-NPAO of fuzzy optimization problems. Based on a relative approximation scheme targeting fuzzy membership degree, we formulate two notions of "reducibility" in order to compare the computational complexity of two fuzzy problems. These reducibility notions make it possible to locate the most difficult fuzzy problems in Fuzzy-NPA and in Fuzzy-NPAO.
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Recurrent Neural Network Based Modeling of Gene Regulatory Network Using Bat Algorithm. (arXiv:1509.03221v1 [cs.AI])
Correct inference of genetic regulations inside a cell is one of the greatest challenges in post genomic era for the biologist and researchers. Several intelligent techniques and models were already proposed to identify the regulatory relations among genes from the biological database like time series microarray data. Recurrent Neural Network (RNN) is one of the most popular and simple approach to model the dynamics as well as to infer correct dependencies among genes. In this paper, Bat Algorithm (BA) was applied to optimize the model parameters of RNN model of Gene Regulatory Network (GRN). Initially the proposed method is tested against small artificial network without any noise and the efficiency was observed in term of number of iteration, number of population and BA optimization parameters. The model was also validated in presence of different level of random noise for the small artificial network and that proved its ability to infer the correct inferences in presence of noise like real world dataset. In the next phase of this research, BA based RNN is applied to real world benchmark time series microarray dataset of E. Coli. The results shown that it can able to identify the maximum true positive regulation but also include some false positive regulations. Therefore, BA is very suitable for identifying biological plausible GRN with the help RNN model
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An Epsilon Hierarchical Fuzzy Twin Support Vector Regression. (arXiv:1509.03247v1 [cs.AI])
The research presents epsilon hierarchical fuzzy twin support vector regression based on epsilon fuzzy twin support vector regression and epsilon twin support vector regression. Epsilon FTSVR is achieved by incorporating trapezoidal fuzzy numbers to epsilon TSVR which takes care of uncertainty existing in forecasting problems. Epsilon FTSVR determines a pair of epsilon insensitive proximal functions by solving two related quadratic programming problems. The structural risk minimization principle is implemented by introducing regularization term in primal problems of epsilon FTSVR. This yields dual stable positive definite problems which improves regression performance. Epsilon FTSVR is then reformulated as epsilon HFTSVR consisting of a set of hierarchical layers each containing epsilon FTSVR. Experimental results on both synthetic and real datasets reveal that epsilon HFTSVR has remarkable generalization performance with minimum training time.
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Re: [FD] Schneider Electric CitectSCADA Insecure DLL Loading Code Execution Vulnerability
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[FD] Nokia Solutions and Networks @vantage - Multiple Reflected XSS
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[FD] DataTables Security Advisory - XSS Vulnerability - CVE-2015-6584
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[FD] CubeCart 6.0.6 > 5.2.12 admin hijacking vulnerability
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[FD] [ERPSCAN-15-016] SAP NetWeaver – Hardcoded credentials
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errors" for anonymous users
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[FD] [ERPSCAN-15-015] SAP NetWeaver AS ABAP– Hardcoded Credentials
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[FD] OpenLDAP ber_get_next Denial of Service
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[FD] Silver Peak VXOA Multiple Vulnerabilities
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[FD] Raritan PowerIQ default credentials
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Blocking Authentication Attempts from Anonymous Networks
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11 Million Ashley Madison Passwords Cracked In Just 10 Days
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Combining data- and theory-driving insights using large, anonymous datasets of expressive online ...
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After FIFA scandals, proposals by FIFA reform adviser Scala
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Anonymous Report Form
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I have a new follower on Twitter
aviation
home of aviation
sky
Following: 293 - Followers: 281
September 10, 2015 at 11:19AM via Twitter http://twitter.com/aviation_1
I have a new follower on Twitter
Ruth Brons
American String Teachers Association Kudos Award Recipient 2014 #BowHoldBuddies
Finally, an Instant Bow Hold!™
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Following: 1029 - Followers: 5721
September 10, 2015 at 10:18AM via Twitter http://twitter.com/BowHoldBuddies
ISS Daily Summary Report – 09/9/15
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FIFA adviser urges presidential term limits to force change
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Russian Hackers Hijack Satellite To Steal Data from Thousands of Hacked Computers
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Bayern midfielder Javi Martinez eyeing return from injury
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Balotelli set for 2nd Milan debut in derby at old club Inter
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Dortmund, Bayern aim to maintain perfect league starts
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Aquarius Sea Surface Salinity 2011-2015
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2017 Total Solar Eclipse in the U.S.
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2017 Eclipse Shadow Cones
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2017 Eclipse and the Moon's Orbit
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Barcelona and Atletico to see how they measure up in Spain
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Villas-Boas to quit as Zenit coach at end of season
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Study: 800,000 tourists attended football games in England
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NGC 1316: After Galaxies Collide
Wednesday, September 9, 2015
Orioles Highlight: Steve Pearce hits go-ahead HR, Ubaldo Jimenez (7 IP, 3 ER) gets 11th win in 5-3 victory at Yankees (ESPN)
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A Topological Approach to Meta-heuristics: Analytical Results on the BFS vs. DFS Algorithm Selection Problem. (arXiv:1509.02709v1 [cs.AI])
Search is a central problem in artificial intelligence, and BFS and DFS the two most fundamental ways to search. In this report we derive results for average BFS and DFS runtime: For tree search, we employ a probabilistic model of goal distribution; for graph search, the analysis depends on an additional statistic of path redundancy and average branching factor. As an application, we use the results on two concrete grammar problems. The runtime estimates can be used to select the faster out of BFS and DFS for a given problem, and may form the basis for further analysis of more advanced search methods. Finally, we verify our results experimentally; the analytical approximations come surprisingly close to empirical reality.
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Ravens: WR Steve Smith is appealing the fine he received stemming from his ejection in preseason game vs. Redskins (ESPN)
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[FD] Multiple Cross-Site Scripting vulnerabilities in Synology Download Station
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[FD] Synology Video Station command injection and multiple SQL injection vulnerabilities
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Mexico TV uses Trump to heat soccer rivalry
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Crowded contest for FIFA top job as Prince Ali makes 2nd bid
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German football chief visits 'Refugees United'
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Orioles: Rumblings of internal strife amid streak of 3 straight winning seasons being snapped, writes Jerry Crasnick (ESPN)
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Samsung Launches 6GB RAM Chips for Next Generation Smartphones
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Prince Ali of Jordan announces bid for FIFA president
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PSG to give 1 million euros to help tackle migrants crisis
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President of chess federation could run for FIFA president
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