Latest YouTube Video
Saturday, May 16, 2015
Orioles Video: Steve Pearce hits solo HR for just 1 of team's 3 hits in a 6-1 loss to Angels; 8th loss in last 11 games (ESPN)
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Nebraska says assistant soccer coach died in car accident
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Gamblers Anonymous Ireland
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I have a new follower on Twitter
Leadership Tips
Don't find fault. Find a remedy..
Indianapolis
Following: 5704 - Followers: 5527
May 16, 2015 at 09:26PM via Twitter http://twitter.com/Leadershiip
Orioles: P Chris Tillman scratched from Sunday's scheduled start due to back stiffness (ESPN)
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Hull manager in shock at player's failed drugs test
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PSG wins French league, Anfield bids farewell to Gerrard
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Anonymous on Twitter: ".@HamCoTN Do you have any comment on the case of US vs Doggart ...
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PSG clinches 3rd successive Ligue 1 title
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Gerrard loses last home game for Liverpool
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Top SAmerican official: Expect 'severe' penalty against Boca
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Anfield bids a heartfelt farewell to Steven Gerrard
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Gerrard bids farewell to Anfield with 3-1 loss to Palace
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Juventus wins 2-1 at Inter in the Derby d'Italia
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Stoke sets points record with 0-0 draw at Burnley in EPL
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Hull closer to relegation after 2-0 loss at Spurs
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Simple Fingerprint Test is Enough to Know Cocaine Use
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Leicester stays up after drawing 0-0 with Sunderland in EPL
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Freiburg beats Bayern 2-1 to escape Bundesliga drop zone
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Egypt court bans popular, hard-core 'ultra' soccer fan clubs
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I have a new follower on Twitter
Olivia coo.
I arrange myself like I am managing a company
Following: 574 - Followers: 301
May 16, 2015 at 11:03AM via Twitter http://twitter.com/OliviaCowin
Southampton's Mane scores fastest Premier League hat trick
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Norwich beats Ipswich to reach Championship playoff final
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Mane scores fastest Premier League hat trick
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Orioles: Bud Norris (bronchitis) scratched from Saturday start vs. Dodgers; Ubaldo Jimenez will move up a day to replace (ESPN)
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This 3D Printed Robot Cracks Combination Locks in Less than 30 Seconds
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Urawa Reds thrash FC Tokyo 4-1 to widen lead in J-League
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Anonymous on Twitter: "Baltimore prison guards arrested for looting during #FreddieGray riots http ...
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Jupiter, Ganymede, Great Red Spot
Friday, May 15, 2015
Orioles Video: J.J. Hardy accounts for lone run with HR in 8th inning of 3-1 loss to Angels; 7th loss last 10 games (ESPN)
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Anonymous: Ave, regina caelorum
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Make possible for anonymous users to apply for a job position
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[FD] CSRF & XSS vulnerabilities in Encrypted Contact Form Wordpress Plugin v1.0.4
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[FD] XML Injection, AoF and BF vulnerabilities in Hikvision DS-2CD2012-I
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Middlesbrough beats Brentford to reach Wembley playoff final
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Anonymous on Twitter: "#AntiSec is claiming to have hacked the Madison PD as a response to ...
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Hull, English FA suspend midfielder Jake Livermore
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View Quize result for anonymous user
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UEFA opens disciplinary cases against Dnipro
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Blatter to travel to meet Israeli, Palestinian state leaders
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Blatter wants new rule helping US bid for 2026 World Cup
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Blatter to visit US in 2016, rejects talk of avoiding FBI
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Blatter to visit US in 2016, rejects talk of avoiding FBI
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ISS Daily Summary Report – 05/14/15
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Allegri: Juventus must stay focused at home as well
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Rodgers opens door for Gerrard return to Liverpool
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Farage puts pressure on anonymous Ukip rebel
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Win Free Air Miles for Finding Security Flaws in United Airlines
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FC Tokyo signs 13-year-old Barcelona prospect
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[FD] [SE-2014-02] Unconfirmed / unpatched vulnerabilities in Google App Engine
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Major Hurricane Drought: Nine Years Without a Major Hurricane Making US Landfall
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Dwarf Planet, Bright Spot
Match suspended after River players hit with eye irritant
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Thursday, May 14, 2015
Match suspended after River Plate players hit by spray
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Tottenham friendly sparks dispute in Malaysia
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I have a new follower on Twitter
Amy Diaz
Entrepreneur. Proud analyst. Coffee buff. Extreme pop culture evangelist. Freelance alcohol fanatic.
Jacksonville
Following: 2797 - Followers: 2627
May 14, 2015 at 10:03PM via Twitter http://twitter.com/lollygagblare
Brain Tumor Segmentation with Deep Neural Networks. (arXiv:1505.03540v1 [cs.CV])
In this paper, we present a fully automatic brain tumor segmentation method based on Deep Neural Networks (DNNs). The proposed networks are tailored to glioblastomas (both low and high grade) pictured in MR images. By their very nature, these tumors can appear anywhere in the brain and have almost any kind of shape, size, and contrast. These reasons motivate our exploration of a machine learning solution that exploits a flexible, high capacity DNN while being extremely efficient. Here, we give a description of different model choices that we've found to be necessary for obtaining competitive performance. We explore in particular different architectures based on Convolutional Neural Networks (CNN), i.e. DNNs specifically adapted to image data.
We present a novel CNN architecture which differs from those traditionally used in computer vision. Our CNN exploits both local features as well as more global contextual features simultaneously. Also, different from most traditional uses of CNNs, our networks use a final layer that is a convolutional implementation of a fully connected layer which allows a 40 fold speed up. We also describe a 2-phase training procedure that allows us to tackle difficulties related to the imbalance of tumor labels. Finally, we explore a cascade architecture in which the output of a basic CNN is treated as an additional source of information for a subsequent CNN. Results reported on the 2013 BRATS test dataset reveal that our architecture improves over the currently published state-of-the-art while being over 30 times faster.
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Predicting Occupancy Trends in Barcelona's Bicycle Service Stations Using Open Data. (arXiv:1505.03662v1 [cs.AI])
In 2008, the CEO of the company that manages and maintains the public bicycle service in Barcelona 1 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 2 . 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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On the Complexity of Finding Second-Best Abductive Explanations. (arXiv:1204.5859v3 [cs.LO] UPDATED)
While looking for abductive explanations of a given set of manifestations, an ordering between possible solutions is often assumed. The complexity of finding/verifying optimal solutions is already known. In this paper we consider the computational complexity of finding second-best solutions. We consider different orderings, and consider also different possible definitions of what a second-best solution is.
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Graphlet-based lazy associative graph classification. (arXiv:1504.05457v2 [cs.DS] UPDATED)
The paper addresses the graph classification problem and introduces a modification of the lazy associative classification method to efficiently handle intersections of graphs. Graph intersections are approximated with all common subgraphs up to a fixed size similarly to what is done with graphlet kernels. We explain the idea of the algorithm with a toy example and describe our experiments with a predictive toxicology dataset.
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Sevilla swats Fiorentina 5-0 to reach Europa League final
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[FD] Broken, Abandoned, and Forgotten Code, Part 4
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[FD] How to detect a promiscuous interface by using WMIC
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[FD] Read heap overflow / invalid memory access in Wireshark
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[FD] Ambari Server 1.7.0 Local Privilege Escalation
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[FD] Hue 3.7.1 Local Privilege Escalation
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Barcelona forward Luis Suarez picks up hamstring strain
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PCI Compliance Simplified: Get Trained and Avoid Security Breaches
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Venom Vulnerability Exposes Most Data Centers to Cyber Attacks
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Aston Villa fined over pitch invasion at end of FA Cup quarter-final
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Weekend soccer in Argentina called off after player's death
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Aston Villa fined after fans invade pitch during game
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Court suspends strike in Spanish league ahead of last rounds
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I have a new follower on Twitter
Rene Higuita
Following: 1113 - Followers: 113
May 14, 2015 at 10:55AM via Twitter http://twitter.com/rene01higuita
4th-division player in Argentina dies after skull fracture
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Marseille coach Bielsa still waiting for contract offer
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Lazio heading into season-defining week as fights for 2nd
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ISS Daily Summary Report – 05/13/15
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I have a new follower on Twitter
Salvo Auto Parts
Following: 158 - Followers: 85
May 14, 2015 at 09:32AM via Twitter http://twitter.com/salvoautoparts
I have a new follower on Twitter
Emplois Montpellier
Liste des dernières offres d'emploi sur Montpellier. http://t.co/ncFbDeKyrF
Montpellier
http://t.co/ncFbDeKyrF
Following: 2715 - Followers: 2860
May 14, 2015 at 09:17AM via Twitter http://twitter.com/MontpellierJobs
Liverpool bids farewell to Gerrard, a humble hometown icon
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With strike off, Barcelona can clinch title at Atletico
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PSG cautious of Montpellier trap in French league
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American goalkeeper Friedel to retire at end of season
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Stuttgart hosts Hamburg as 6 clubs battle against relegation
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Court suspends strike in Spanish league
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Anonymous: Serviteur suis
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From Europa League to possible relegation for Hull
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[FD] SEC Consult SA-20150514-0 :: Multiple vulnerabilities in Loxone Smart Home (part 2)
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LRO Lowers Periapsis
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The Magnificent Horsehead Nebula
Wednesday, May 13, 2015
Re: [FD] Concrete5 Security Advisory - Multiple XSS Vulnerabilities - CVE-2015-2250
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Orioles Highlight: Manny Machado's RBI double sparks 5-run 2nd, Rey Navarro hits 1st career HR in 6-1 win vs. Blue Jays (ESPN)
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I have a new follower on Twitter
Panther Consulting
International consulting firm specializing in complex mergers & acquisition (M&A) cases including post-merger integration (PMI) and joint-venture (JV) creation
Copenhagen, Denmark
http://t.co/l56wDtV0yX
Following: 2695 - Followers: 2647
May 13, 2015 at 09:43PM via Twitter http://twitter.com/Panther_M_and_A
Exploring Strategy-Proofness, Uniqueness, and Pareto Optimality for the Stable Matching Problem with Couples. (arXiv:1505.03463v1 [cs.GT])
The Stable Matching Problem with Couples (SMP-C) is a ubiquitous real-world extension of the stable matching problem (SMP) involving complementarities. Although SMP can be solved in polynomial time, SMP-C is NP-Complete. Hence, it is not clear which, if any, of the theoretical results surrounding the canonical SMP problem apply in this setting. In this paper, we use a recently-developed SAT encoding to solve SMP-C exactly. This allows us to enumerate all stable matchings for any given instance of SMP-C. With this tool, we empirically evaluate some of the properties that have been hypothesized to hold for SMP-C.
We take particular interest in investigating if, as the size of the market grows, the percentage of instances with unique stable matchings also grows. While we did not find this trend among the random problem instances we sampled, we did find that the percentage of instances with an resident optimal matching seems to more closely follow the trends predicted by previous conjectures. We also define and investigate resident Pareto optimal stable matchings, finding that, even though this is important desideratum for the deferred acceptance style algorithms previously designed to solve SMP-C, they do not always find one.
We also investigate strategy-proofness for SMP-C, showing that even if only one stable matching exists, residents still have incentive to misreport their preferences. However, if a problem has a resident optimal stable matching, we show that residents cannot manipulate via truncation.
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Tree-like Queries in OWL 2 QL: Succinctness and Complexity Results. (arXiv:1406.3047v2 [cs.AI] UPDATED)
This paper investigates the impact of query topology on the difficulty of answering conjunctive queries in the presence of OWL 2 QL ontologies. Our first contribution is to clarify the worst-case size of positive existential (PE), non-recursive Datalog (NDL), and first-order (FO) rewritings for various classes of tree-like conjunctive queries, ranging from linear queries to bounded treewidth queries. Perhaps our most surprising result is a superpolynomial lower bound on the size of PE-rewritings that holds already for linear queries and ontologies of depth 2. More positively, we show that polynomial-size NDL-rewritings always exist for tree-shaped queries with a bounded number of leaves (and arbitrary ontologies), and for bounded treewidth queries paired with bounded depth ontologies. For FO-rewritings, we equate the existence of polysize rewritings with well-known problems in Boolean circuit complexity. As our second contribution, we analyze the computational complexity of query answering and establish tractability results (either NL- or LOGCFL-completeness) for a range of query-ontology pairs. Combining our new results with those from the literature yields a complete picture of the succinctness and complexity landscapes for the considered classes of queries and ontologies.
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Answering Conjunctive Queries over $\mathcal{EL}$ Knowledge Bases with Transitive and Reflexive Roles. (arXiv:1411.2516v3 [cs.AI] UPDATED)
Answering conjunctive queries (CQs) over $\mathcal{EL}$ knowledge bases (KBs) with complex role inclusions is PSPACE-hard and in PSPACE in certain cases; however, if complex role inclusions are restricted to role transitivity, the tight upper complexity bound has so far been unknown. Furthermore, the existing algorithms cannot handle reflexive roles, and they are not practicable. Finally, the problem is tractable for acyclic CQs and $\mathcal{ELH}$, and NP-complete for unrestricted CQs and $\mathcal{ELHO}$ KBs. In this paper we complete the complexity landscape of CQ answering for several important cases. In particular, we present a practicable NP algorithm for answering CQs over $\mathcal{ELHO}^s$ KBs---a logic containing all of OWL 2 EL, but with complex role inclusions restricted to role transitivity. Our preliminary evaluation suggests that the algorithm can be suitable for practical use. Moreover, we show that, even for a restricted class of so-called arborescent acyclic queries, CQ answering over $\mathcal{EL}$ KBs becomes NP-hard in the presence of either transitive or reflexive roles. Finally, we show that answering arborescent CQs over $\mathcal{ELHO}$ KBs is tractable, whereas answering acyclic CQs is NP-hard.
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[FD] New release of,STONIX OS hardening tool
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[FD] Multiple Vulnerabilities in Openlitespeed <= 1.3.10 - CVE-b045-73d a.k.a. Analbleed.
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[FD] Concrete5 Security Advisory - Multiple XSS Vulnerabilities - CVE-2015-2250
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Ravens: CB Kyle Arrington agrees to 3-yr deal, pending a physical; 9 INT, 48 passes defended in 6 seasons with Patriots (ESPN)
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Rob Gronkowski or Odell Beckham Jr. to be revealed as Madden NFL 16 cover athlete coming up live on SportsCenter on ESPN (ESPN)
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Juventus ousts Real Madrid to reach Champions League final
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Juventus draws 1-1 with Real Madrid to reach CL final
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Talks underway to try and resolve Spain soccer strike
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I have a new follower on Twitter
Brightbox
Seriously fast cloud servers, balanced across two UK datacentres, in seconds. https://t.co/rn5e3OuWi0
Leeds, UK
https://t.co/s5fYjh9nFE
Following: 3200 - Followers: 3232
May 13, 2015 at 02:01PM via Twitter http://twitter.com/brightbox
[FD] Web India Solutions CMS 2015 - SQL Injection Vulnerability
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Spanish judge lets court case against Barcelona proceed
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Former FIFA VP banned for 8 years in 2022 World Cup case
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Ravens: John Harbaugh says team \"looking for defensive backs;\" CB Kyle Arrington (released by NE on Monday) an option (ESPN)
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ISS Daily Summary Report – 05/12/15
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Some PSG fans banned from attending French league match
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Microsoft, Adobe and Mozilla issue Critical Security Patch Updates
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Former FIFA VP Temarii banned 8 years for taking money
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University of Luxembourg research identifies secure, anonymous, easy way to pay for online content
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Asian football body suspends general secretary Soosay
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[FD] SEC Consult SA-20150513-0 :: Multiple critical vulnerabilities in WSO2 Identity Server
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Europa semis: Dnipro plays Napoli, Fiorentina vs Sevilla
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DDoS Botnet Leverages Thousands of Insecure SOHO Routers
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How to Share Sensitive Files Instantly and Securely
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Two Worlds One Sun
Tuesday, May 12, 2015
Orioles Video: Jimmy Paredes tallies 2-run single but Chris Tillman allows 5 ER in 6.2 IP in 10-2 loss to Blue Jays (ESPN)
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I have a new follower on Twitter
PerformanceG2, Inc.
Performance management consultancy, Business Analytics solution provider, Cognos reseller, Cognos Training & Support Provider. IBM Cognos Premier partner.
Houston, TX
http://t.co/wg7a0pwDvq
Following: 2343 - Followers: 2644
May 12, 2015 at 09:52PM via Twitter http://twitter.com/performanceg2
Adapting Improved Upper Confidence Bounds for Monte-Carlo Tree Search. (arXiv:1505.02830v1 [cs.AI])
The UCT algorithm, which combines the UCB algorithm and Monte-Carlo Tree Search (MCTS), is currently the most widely used variant of MCTS. Recently, a number of investigations into applying other bandit algorithms to MCTS have produced interesting results. In this research, we will investigate the possibility of combining the improved UCB algorithm, proposed by Auer et al. (2010), with MCTS. However, various characteristics and properties of the improved UCB algorithm may not be ideal for a direct application to MCTS. Therefore, some modifications were made to the improved UCB algorithm, making it more suitable for the task of game tree search. The Mi-UCT algorithm is the application of the modified UCB algorithm applied to trees. The performance of Mi-UCT is demonstrated on the games of $9\times 9$ Go and $9\times 9$ NoGo, and has shown to outperform the plain UCT algorithm when only a small number of playouts are given, and rougly on the same level when more playouts are available.
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The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning. (arXiv:1505.02867v1 [cs.LG])
We describe a new instance-based learning algorithm called the Boundary Forest (BF) algorithm, that can be used for supervised and unsupervised learning. The algorithm builds a forest of trees whose nodes store previously seen examples. It can be shown data points one at a time and updates itself incrementally, hence it is naturally online. Few instance-based algorithms have this property while being simultaneously fast, which the BF is. This is crucial for applications where one needs to respond to input data in real time. The number of children of each node is not set beforehand but obtained from the training procedure, which makes the algorithm very flexible with regards to what data manifolds it can learn. We test its generalization performance and speed on a range of benchmark datasets and detail in which settings it outperforms the state of the art. Empirically we find that training time scales as O(DNlog(N)) and testing as O(Dlog(N)), where D is the dimensionality and N the amount of data,
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Release Early, Release Often: Predicting Change in Versioned Knowledge Organization Systems on the Web. (arXiv:1505.03101v1 [cs.AI])
The Semantic Web is built on top of Knowledge Organization Systems (KOS) (vocabularies, ontologies, concept schemes) that provide a structured, interoperable and distributed access to Linked Data on the Web. The maintenance of these KOS over time has produced a number of KOS version chains: subsequent unique version identifiers to unique states of a KOS. However, the release of new KOS versions pose challenges to both KOS publishers and users. For publishers, updating a KOS is a knowledge intensive task that requires a lot of manual effort, often implying deep deliberation on the set of changes to introduce. For users that link their datasets to these KOS, a new version compromises the validity of their links, often creating ramifications. In this paper we describe a method to automatically detect which parts of a Web KOS are likely to change in a next version, using supervised learning on past versions in the KOS version chain. We use a set of ontology change features to model and predict change in arbitrary Web KOS. We apply our method on 139 varied datasets systematically retrieved from the Semantic Web, obtaining robust results at correctly predicting change. To illustrate the accuracy, genericity and domain independence of the method, we study the relationship between its effectiveness and several characterizations of the evaluated datasets, finding that predictors like the number of versions in a chain and their release frequency have a fundamental impact in predictability of change in Web KOS. Consequently, we argue for adopting a release early, release often philosophy in Web KOS development cycles.
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Barcelona advances to 1st Champions League final since 2011
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Ravens: LB Jarret Johnson to retire after 12-year career; played with Baltimore from 2003-11, had 25.5 career sacks (ESPN)
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Orioles: INF Ryan Flaherty (right groin strain) placed on 15-day disabled list, INF Rey Navarro recalled from Triple-A (ESPN)
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CNN Politics
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Jardim extends deal with Monaco
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[FD] Two invalid read errors / heap overflows in SQLite (TFPA 006/2015)
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CHIP — The World's First $9 Computer
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New Pics Added to the Blog Gallery (May 12, 2015)
New Pics Added to the Blog Gallery! (May 12, 2015)
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The Latest: Champions League trophy arrives at Allianz Arena
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Kaka among 7 alternates in Brazil's Copa America squad
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ISS Daily Summary Report – 05/11/15
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