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Saturday, May 9, 2015
Ravens: John Harbaugh declines to comment on Wells report, says \"246 pages? No, I've been a little more busy than that\" (ESPN)
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Benfica stays on course for title, Penafiel relegated
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[FD] 0day Mailbird XSS ?
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Orioles Highlight: Jimmy Paredes, Chris Davis and Alejandro De Aza each homer off Chase Whitley in 6-2 win over Yankees (ESPN)
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Morgan sits out Sunday's US match to rest knee
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Man United close to Champions League return, Burnley down
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Pogba scores as Juventus draws 1-1 against Cagliari
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HBO wins libel case involving soccer ball-child labor report
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Leicester beats Southampton to boost EPL survival bid
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Lyon's title hopes appear over with 3-0 defeat at Caen
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Anonymous: Praeludium
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Newcastle snatches point vs Burnley to end losing streak
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Villa close to safety after 1-0 win over West Ham
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Stoke beats Tottenham 3-0 in Premier League
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Burnley relegated from Premier League despite win at Hull
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Granada beats Cordoba 2-0 to move closer to safety in Spain
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'Gladbach defeats Leverkusen 3-0, Bayern loses to Augsburg
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Sydney FC advances to A-League grand final against Victory
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Windows 10 is the Last Version of Windows, Microsoft Confirmed
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Anweisung zum Generalbass
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New GPU-based Linux Rootkit and Keylogger with Excellent Stealth and Computing Power
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[FD] Wordpress Twenty Fifteen Theme - DOM XSS Vulnerability - CVE-2015-3429
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[FD] CVE-2014-3440 - Symantec Critical System Protection RCE
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[FD] DAVOSET v.1.2.4
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[FD] Capstone disassembly framework 3.0.3 is out!
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Orioles Video: Miguel Gonzalez allows 5 R in 4 IP to put team in 5-0 hole in 5-4 loss to Yankees (ESPN)
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When Vega is North
Friday, May 8, 2015
Hamburg draw Freiburg to stay point away from relegation zone
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Espanyol keeps Eibar on brink of relegation zone in Spain
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Cavani nets 3 as PSG routs Guingamp 6-0 to edge toward title
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Hamburg draws 1-1 with Freiburg in Bundesliga
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Valencia left back Jose Gaya signs contract extension
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Doctors say tests show Pele has no tumors
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Design News (@RedditDesign) favorited one of your Tweets!
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[FD] Feed2JS v1.7 XSS (Cross-site Scripting) Web Security Vulnerabilities
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[FD] Artnana Webboard version 1.4 XSS (Cross-site Scripting) Web Security Vulnerabilities
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[FD] MT.VERNON MEDIA Web-Design v1.12 HTML Injection Web Security Vulnerabilities
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[FD] MT.VERNON MEDIA Web-Design v1.12 Multiple SQL Injection Web Security Vulnerabilities
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[FD] MT.VERNON MEDIA Web-Design v1.12 Multiple XSS (Cross-site Scripting) Web Security Vulnerabilities
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Re: [FD] AMD Bulldozer Linux ASLR weakness: Reducing entropy by 87.5%
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Define your ideal virtual bank
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[FD] Docker 1.6.1 - Security Advisory [150507]
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[FD] Yet Another Related Posts Plugin (YARPP) 4.2.4 CSRF -> XSS -> RCE
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[FD] SAP vulnerabilities highlighted in many reports such as HP Cyber Risk Report 2015
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Nearly 95% of SAP Systems Vulnerable to Hackers
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Ravens: Jamison Hensley breaks down team's 15 undrafted rookie free agents; 1 has made 53-man roster 11 straight seasons (ESPN)
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Steven Gerrard: The one that got away for Jose Mourinho
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[FD] Pimcore v3.0.5 CMS - Multiple Web Vulnerabilities
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ISS Daily Summary Report – 05/07/15
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Melbourne Victory advance to A-League grand final
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Van Gaal: United signed Depay from under noses of PSG
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Free Tool Allows Anyone to View Facebook Users' Hidden Friends List
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Liverpool's Sturridge out until September after hip surgery
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Call for Papers: The Lunar Reconnaissance Orbiter, Six Years of Science and Exploration at the Moon
Announcing a call for papers in a special issue of Icarus with a focus on lunar and solar system science that substantially rely on Lunar Reconnaissance Orbiter data. LRO, launched in 2009 has a suite of seven instruments, all of which have been depositing data in the Planetary Data System every three months. We are requesting submissions that rely on LRO data, but we encourage submissions that combine data from LRO with data from other missions.
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LRO Lowers Periapsis
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At the Limit of Diffraction
Thursday, May 7, 2015
Orioles Video: P Chris Tillman allows Alex Rodriguez's milestone 661st HR after RF Delmon Young robs A-Rod (ESPN)
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Graphical Potential Games. (arXiv:1505.01539v1 [cs.GT])
Potential games, originally introduced in the early 1990's by Lloyd Shapley, the 2012 Nobel Laureate in Economics, and his colleague Dov Monderer, are a very important class of models in game theory. They have special properties such as the existence of Nash equilibria in pure strategies. This note introduces graphical versions of potential games. Special cases of graphical potential games have already found applicability in many areas of science and engineering beyond economics, including artificial intelligence, computer vision, and machine learning. They have been effectively applied to the study and solution of important real-world problems such as routing and congestion in networks, distributed resource allocation (e.g., public goods), and relaxation-labeling for image segmentation. Implicit use of graphical potential games goes back at least 40 years. Several classes of games considered standard in the literature, including coordination games, local interaction games, lattice games, congestion games, and party-affiliation games, are instances of graphical potential games. This note provides several characterizations of graphical potential games by leveraging well-known results from the literature on probabilistic graphical models. A major contribution of the work presented here that particularly distinguishes it from previous work is establishing that the convergence of certain type of game-playing rules implies that the agents/players must be embedded in some graphical potential game.
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Best-First and Depth-First Minimax Search in Practice. (arXiv:1505.01603v1 [cs.AI])
Most practitioners use a variant of the Alpha-Beta algorithm, a simple depth-first pro- cedure, for searching minimax trees. SSS*, with its best-first search strategy, reportedly offers the potential for more efficient search. However, the complex formulation of the al- gorithm and its alleged excessive memory requirements preclude its use in practice. For two decades, the search efficiency of "smart" best-first SSS* has cast doubt on the effectiveness of "dumb" depth-first Alpha-Beta. This paper presents a simple framework for calling Alpha-Beta that allows us to create a variety of algorithms, including SSS* and DUAL*. In effect, we formulate a best-first algorithm using depth-first search. Expressed in this framework SSS* is just a special case of Alpha-Beta, solving all of the perceived drawbacks of the algorithm. In practice, Alpha-Beta variants typically evaluate less nodes than SSS*. A new instance of this framework, MTD(f), out-performs SSS* and NegaScout, the Alpha-Beta variant of choice by practitioners.
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Structure Formation in Large Theories. (arXiv:1505.01620v1 [cs.LO])
Structuring theories is one of the main approaches to reduce the combinatorial explosion associated with reasoning and exploring large theories. In the past we developed the notion of development graphs as a means to represent and maintain structured theories. In this paper we present a methodology and a resulting implementation to reveal the hidden structure of flat theories by transforming them into detailed development graphs. We review our approach using plain TSTP-representations of MIZAR articles obtaining more structured and also more concise theories.
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LeoPARD --- A Generic Platform for the Implementation of Higher-Order Reasoners. (arXiv:1505.01629v1 [cs.LO])
LeoPARD supports the implementation of knowledge representation and reasoning tools for higher-order logic(s). It combines a sophisticated data structure layer (polymorphically typed {\lambda}-calculus with nameless spine notation, explicit substitutions, and perfect term sharing) with an ambitious multi-agent blackboard architecture (supporting prover parallelism at the term, clause, and search level). Further features of LeoPARD include a parser for all TPTP dialects, a command line interpreter, and generic means for the integration of external reasoners.
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Contextual Analysis for Middle Eastern Languages with Hidden Markov Models. (arXiv:1505.01757v1 [cs.CL])
Displaying a document in Middle Eastern languages requires contextual analysis due to different presentational forms for each character of the alphabet. The words of the document will be formed by the joining of the correct positional glyphs representing corresponding presentational forms of the characters. A set of rules defines the joining of the glyphs. As usual, these rules vary from language to language and are subject to interpretation by the software developers.
In this paper, we propose a machine learning approach for contextual analysis based on the first order Hidden Markov Model. We will design and build a model for the Farsi language to exhibit this technology. The Farsi model achieves 94 \% accuracy with the training based on a short list of 89 Farsi vocabularies consisting of 2780 Farsi characters.
The experiment can be easily extended to many languages including Arabic, Urdu, and Sindhi. Furthermore, the advantage of this approach is that the same software can be used to perform contextual analysis without coding complex rules for each specific language. Of particular interest is that the languages with fewer speakers can have greater representation on the web, since they are typically ignored by software developers due to lack of financial incentives.
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Effects of Nonparanormal Transform on PC and GES Search Accuracies. (arXiv:1505.01825v1 [cs.AI])
Liu, et al., 2009 developed a transformation of a class of non-Gaussian univariate distributions into Gaussian distributions. Liu and collaborators (2012) subsequently applied the transform to search for graphical causal models for a number of empirical data sets. To our knowledge, there has been no published investigation by simulation of the conditions under which the transform aids, or harms, standard graphical model search procedures. We consider here how the transform affects the performance of two search algorithms in particular, PC (Spirtes et al., 2000; Meek 1995) and GES (Meek 1997; Chickering 2002). We find that the transform is harmless but ineffective for most cases but quite effective in very special cases for GES, namely, for moderate non-Gaussianity and moderate non-linearity. For strong-linearity, another algorithm, PC-GES (a combination of PC with GES), is equally effective.
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Online Context-Dependent Clustering in Recommendations based on Exploration-Exploitation Algorithms. (arXiv:1502.03473v3 [cs.LG] UPDATED)
We investigate two context-dependent clustering techniques for content recommendation based on exploration-exploitation strategies in contextual multiarmed bandit settings. Our algorithms dynamically group users based on the items under consideration and, possibly, group items based on the similarity of the clusterings induced over the users. The resulting algorithm thus takes advantage of preference patterns in the data in a way akin to collaborative filtering methods. We provide an empirical analysis on extensive real-world datasets, showing scalability and increased prediction performance over state-of-the-art methods for clustering bandits. For one of the two algorithms we also give a regret analysis within a standard linear stochastic noise setting.
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Policemen detained in case of fans slayed in Brazil
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Orioles: SS J.J. Hardy batting 7th in return from DL on Thursday against Yankees (ESPN)
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Brazil hospital says Pele recovering from prostate surgery
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Dnipro scores late for 1-1 draw at Napoli in Europa League
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Sevilla beats Fiorentina 3-0 in Europa League semifinal
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Mum-of-one with invisible disability gets abusive anonymous note after parking in disabled bay
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I have a new follower on Twitter
Legal Design Init.
The Legal Design Initiative, currently living at Stanford's d.school & Center on the Legal Profession
Stanford, CA
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Following: 498 - Followers: 1160
May 07, 2015 at 03:56PM via Twitter http://twitter.com/LegalTechDesign
Greece approves amended sports law after UEFA objections
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US Court Rules NSA Phone surveillance Program is illegal
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Blatter says he's been 'godfather' for women's soccer
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Ramos leaves open US U20 roster spot for Arsenal's Zelalem
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FIFA adviser expresses sympathy for Palestinians
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Champions League return on horizon for Man United
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[FD] Grindr v2.1.1 iOS & Account System - Breach Attack Vulnerability
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[FD] Yahoo eMarketing Bug Bounty #31 - Cross Site Scripting Vulnerability
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[FD] Album Streamer v2.0 iOS - Directory Traversal Vulnerability
Videos
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FIFA imposes new passport rule for World Cup qualifiers
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FIFA official expresses sympathy for Palestinians
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PSG looks to take a step closer to 3rd straight French title
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Strike puts finale of Spanish soccer season in doubt
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ISS Daily Summary Report – 05/06/15
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Column: Pep Guardiola, too clever for his own good?
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Android M — Latest Google Android OS to be Unveiled This Month
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Spanish football league takes FA to court over strike
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Blatter says he's been 'godfather' for women's football
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I have a new follower on Twitter
Bravo
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Hurting Bayern hosts Augsburg after 3 straight defeats
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Roma, Lazio and Napoli fighting for 2nd place in Serie A
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Barcelona hosts Sociedad with Spanish title near
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WordPress Vulnerability Puts Millions of Websites At Risk
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Former England striker Greaves out of hospital after stroke
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Anonymous Italy on Twitter: "http://t.co/bvbVVtMUX5 & http://t.co/k2t4CjUY00 'Houston, we have a ...
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[FD] pydio vulnerabilities
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Summer Triangles over Japan
Wednesday, May 6, 2015
Orioles Video: Ubaldo Jimenez lasts just 4 innings, allows 3 ER in 5-1 loss to Mets (ESPN)
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The Configurable SAT Solver Challenge (CSSC). (arXiv:1505.01221v1 [cs.AI])
It is well known that different solution strategies work well for different types of instances of hard combinatorial problems. As a consequence, most solvers for the propositional satisfiability problem (SAT) expose parameters that allow them to be customized to a particular family of instances. In the international SAT competition series, these parameters are ignored: solvers are run using a single default parameter setting (supplied by the authors) for all benchmark instances in a given track. While this competition format rewards solvers with robust default settings, it does not reflect the situation faced by a practitioner who only cares about performance on one particular application and can invest some time into tuning solver parameters for this application. The new Configurable SAT Solver Competition (CSSC) compares solvers in this latter setting, scoring each solver by the performance it achieved after a fully automated configuration step. This article describes the CSSC in more detail, and reports the results obtained in its two instantiations so far, CSSC 2013 and 2014.
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Fast Differentially Private Matrix Factorization. (arXiv:1505.01419v1 [cs.LG])
Differentially private collaborative filtering is a challenging task, both in terms of accuracy and speed. We present a simple algorithm that is provably differentially private, while offering good performance, using a novel connection of differential privacy to Bayesian posterior sampling via Stochastic Gradient Langevin Dynamics. Due to its simplicity the algorithm lends itself to efficient implementation. By careful systems design and by exploiting the power law behavior of the data to maximize CPU cache bandwidth we are able to generate 1024 dimensional models at a rate of 8.5 million recommendations per second on a single PC.
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Output-Sensitive Adaptive Metropolis-Hastings for Probabilistic Programs. (arXiv:1501.05677v2 [cs.AI] UPDATED)
We introduce an adaptive output-sensitive Metropolis-Hastings algorithm for probabilistic models expressed as programs, Adaptive Lightweight Metropolis-Hastings (AdLMH). The algorithm extends Lightweight Metropolis-Hastings (LMH) by adjusting the probabilities of proposing random variables for modification to improve convergence of the program output. We show that AdLMH converges to the correct equilibrium distribution and compare convergence of AdLMH to that of LMH on several test problems to highlight different aspects of the adaptation scheme. We observe consistent improvement in convergence on the test problems.
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Ravens: Nine-time Pro Bowl S Ed Reed officially announces retirement; team to hold news conference Thursday 2 pm ET (ESPN)
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Orioles seek 6th win in 8 games, visit Mets at 7 pm ET on ESPN/WatchESPN; Ubaldo Jimenez on the mound (ESPN)
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Orioles seek 6th win in 8 games, visit Mets at 7 pm ET on ESPN/WatchESPN; Ubaldo Jimenez on the mound (ESPN)
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Jacob deGrom attempts to rebound from worst start of season as Mets face Orioles at 7 pm ET on ESPN/WatchESPN (ESPN)
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