Table of Contents

• Inferring Multi-Dimensional Ideal Points for US Supreme Court JusticesMohammad Raihanul Islam, K. S. M. Tozammel Hossain, Siddharth Krishnan, Naren Ramakrishnan. 4-12 [doi]
• Little Is Much: Bridging Cross-Platform Behaviors through Overlapped CrowdsMeng Jiang, Peng Cui, Nicholas Jing Yuan, Xing Xie, Shiqiang Yang. 13-19 [doi]
• Scientific Ranking over Heterogeneous Academic HypernetworkRonghua Liang, Xiaorui Jiang. 20-26 [doi]
• MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure PredictionZeming Lin, Jack Lanchantin, Yanjun Qi. 27-34 [doi]
• Hospital Stockpiling Problems with Inventory SharingEric Lofgren, Anil Vullikanti. 35-41 [doi]
• Predicting ICU Mortality Risk by Grouping Temporal Trends from a Multivariate Panel of Physiologic MeasurementsYuan Luo, Yu Xin, Rohit Joshi, Leo Celi, Peter Szolovits. 42-50 [doi]
• Learning to Generate Posters of Scientific PapersYuting Qiang, Yanwei Fu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal. 51-57 [doi]
• Face Behind MakeupShuyang Wang, Yun Fu. 58-64 [doi]
• Social Role-Aware Emotion Contagion in Image Social NetworksYang Yang, Jia Jia, Boya Wu, Jie Tang. 65-71 [doi]
• Survival Prediction by an Integrated Learning Criterion on Intermittently Varying Healthcare DataJianfei Zhang, Lifei Chen, Alain Vanasse, Josiane Courteau, Shengrui Wang. 72-78 [doi]
• On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in NetworksChuan Zhou, Weixue Lu, Peng Zhang, Jia Wu, Yue Hu, Li Guo. 79-86 [doi]
• From Tweets to Wellness: Wellness Event Detection from Twitter StreamsMohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua. 87-93 [doi]
• "8 Amazing Secrets for Getting More Clicks": Detecting Clickbaits in News Streams Using Article InformalityPrakhar Biyani, Kostas Tsioutsiouliklis, John Blackmer. 94-100 [doi]
• Business-Aware Visual Concept Discovery from Social Media for Multimodal Business Venue RecognitionBor-Chun Chen, Yan-Ying Chen, Francine Chen, Dhiraj Joshi. 101-107 [doi]
• Capturing Semantic Correlation for Item Recommendation in Tagging SystemsChaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Deren Chen. 108-114 [doi]
• Identifying Sentiment Words Using an Optimization Model with L1 RegularizationZhi-Hong Deng, Hongliang Yu, Yunlun Yang. 115-121 [doi]
• Community-Based Question Answering via Heterogeneous Social Network LearningHanyin Fang, Fei Wu, Zhou Zhao, Xinyu Duan, Yueting Zhuang, Martin Ester. 122-128 [doi]
• College Towns, Vacation Spots, and Tech Hubs: Using Geo-Social Media to Model and Compare LocationsHancheng Ge, James Caverlee. 129-136 [doi]
• Inferring a Personalized Next Point-of-Interest Recommendation Model with Latent Behavior PatternsJing He, Xin Li, Lejian Liao, Dandan Song, William K. Cheung. 137-143 [doi]
• VBPR: Visual Bayesian Personalized Ranking from Implicit FeedbackRuining He, Julian McAuley. 144-150 [doi]
• Improved Neural Machine Translation with SMT FeaturesWei He, Zhongjun He, Hua Wu, Haifeng Wang. 151-157 [doi]
• A Scalable Framework to Choose Sellers in E-Marketplaces Using POMDPsAthirai Aravazhi Irissappane, Frans A. Oliehoek, Jie Zhang. 158-164 [doi]
• Fusing Social Networks with Deep Learning for Volunteerism Tendency PredictionYongpo Jia, Xuemeng Song, Jingbo Zhou, Li Liu, Liqiang Nie, David S. Rosenblum. 165-171 [doi]
• Detect Overlapping Communities via Ranking Node PopularitiesDi Jin, Hongcui Wang, Jianwu Dang, Dongxiao He, Weixiong Zhang. 172-178 [doi]
• Top-N Recommender System via Matrix CompletionZhao Kang, Chong Peng, Qiang Cheng. 179-185 [doi]
• Robust Text Classification in the Presence of Confounding BiasVirgile Landeiro Dos Reis, Aron Culotta. 186-193 [doi]
• Predicting the Next Location: A Recurrent Model with Spatial and Temporal ContextsQiang Liu, Shu Wu, Liang Wang, Tieniu Tan. 194-200 [doi]
• Fortune Teller: Predicting Your Career PathYe Liu, Luming Zhang, Liqiang Nie, Yan Yan, David S. Rosenblum. 201-207 [doi]
• Predicting Online Protest Participation of Social Media UsersSuhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu. 208-214 [doi]
• Context-Sensitive Twitter Sentiment Classification Using Neural NetworkYafeng Ren, Yue Zhang, Meishan Zhang, Donghong Ji. 215-221 [doi]
• ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of SourcesMehdi Samadi, Partha Pratim Talukdar, Manuela M. Veloso, Manuel Blum. 222-228 [doi]
• On the Effectiveness of Linear Models for One-Class Collaborative FilteringSuvash Sedhain, Aditya Krishna Menon, Scott Sanner, Darius Braziunas. 229-235 [doi]
• Supervised Hashing via Uncorrelated Component AnalysisSungryull Sohn, Hyunwoo Kim, Junmo Kim. 236-242 [doi]
• Commonsense in Parts: Mining Part-Whole Relations from the Web and Image TagsNiket Tandon, Charles Hariman, Jacopo Urbani, Anna Rohrbach, Marcus Rohrbach, Gerhard Weikum. 243-250 [doi]
• Recommendation with Social DimensionsJiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu. 251-257 [doi]
• Column-Oriented Datalog Materialization for Large Knowledge GraphsJacopo Urbani, Ceriel J. H. Jacobs, Markus Krötzsch. 258-264 [doi]
• Semantic Community Identification in Large Attribute NetworksXiao Wang, Di Jin, Xiaochun Cao, Liang Yang, Weixiong Zhang. 265-271 [doi]
• Unfolding Temporal Dynamics: Predicting Social Media Popularity Using Multi-scale Temporal DecompositionBo Wu, Tao Mei, Wen-Huang Cheng, Yongdong Zhang. 272-278 [doi]
• Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving PerspectiveLe Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang. 279-286 [doi]
• Cross-Lingual Taxonomy Alignment with Bilingual Biterm Topic ModelTianxing Wu, Guilin Qi, Haofen Wang, Kang Xu, Xuan Cui. 287-293 [doi]
• Online Cross-Modal Hashing for Web Image RetrievalLiang Xie, Jialie Shen, Lei Zhu. 294-300 [doi]
• Understanding Emerging Spatial EntitiesJinyoung Yeo, Jin-Woo Park, Seung-won Hwang. 301-307 [doi]
• Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The BenchmarkQuanzeng You, Jiebo Luo, Hailin Jin, Jianchao Yang. 308-314 [doi]
• STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest RecommendationShenglin Zhao, Tong Zhao, Haiqin Yang, Michael R. Lyu, Irwin King. 315-322 [doi]
• Learning the Preferences of Ignorant, Inconsistent AgentsOwain Evans, Andreas Stuhlmüller, Noah D. Goodman. 323-329 [doi]
• Egocentric Video Search via Physical InteractionsTaiki Miyanishi, Junichiro Hirayama, Quan Kong, Takuya Maekawa, Hiroki Moriya, Takayuki Suyama. 330-337 [doi]
• Learning Deep Representation from Big and Heterogeneous Data for Traffic Accident InferenceQuanjun Chen, Xuan Song, Harutoshi Yamada, Ryosuke Shibasaki. 338-344 [doi]
• Autonomous Electricity Trading Using Time-of-Use Tariffs in a Competitive MarketDaniel Urieli, Peter Stone. 345-352 [doi]
• Reuse of Neural Modules for General Video Game PlayingAlexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen. 353-359 [doi]
• Poker-CNN: A Pattern Learning Strategy for Making Draws and Bets in Poker Games Using Convolutional NetworksNikolai Yakovenko, Liangliang Cao, Colin Raffel, James Fan. 360-368 [doi]
• Computing Possible and Necessary Equilibrium Actions (and Bipartisan Set Winners)Markus Brill, Rupert Freeman, Vincent Conitzer. 369-375 [doi]
• From Duels to Battlefields: Computing Equilibria of Blotto and Other GamesAmirMahdi Ahmadinejad, Sina Dehghani, MohammadTaghi Hajiaghayi, Brendan Lucier, Hamid Mahini, Saeed Seddighin. 376-382 [doi]
• Maximizing Revenue with Limited Correlation: The Cost of Ex-Post Incentive CompatibilityMichael Albert, Vincent Conitzer, Giuseppe Lopomo. 383-389 [doi]
• Blind, Greedy, and Random: Algorithms for Matching and Clustering Using Only Ordinal InformationElliot Anshelevich, Shreyas Sekar. 390-396 [doi]
• Strategyproof Peer Selection: Mechanisms, Analyses, and ExperimentsHaris Aziz, Omer Lev, Nicholas Mattei, Jeffrey S. Rosenschein, Toby Walsh. 397-403 [doi]
• A Security Game Combining Patrolling and Alarm-Triggered Responses Under Spatial and Detection UncertaintiesNicola Basilico, Giuseppe De Nittis, Nicola Gatti. 404-410 [doi]
• Learning Market Parameters Using Aggregate Demand QueriesXiaohui Bei, Wei Chen, Jugal Garg, Martin Hoefer, Xiaoming Sun. 411-417 [doi]
• An Algorithmic Framework for Strategic Fair DivisionSimina Brânzei, Ioannis Caragiannis, David Kurokawa, Ariel D. Procaccia. 418-424 [doi]
• One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for ThreatsMatthew Brown, Arunesh Sinha, Aaron Schlenker, Milind Tambe. 425-431 [doi]
• Strategy-Based Warm Starting for Regret Minimization in GamesNoam Brown, Tuomas Sandholm. 432-438 [doi]
• Using Correlated Strategies for Computing Stackelberg Equilibria in Extensive-Form GamesJiri Cermak, Branislav Bosanský, Karel Durkota, Viliam Lisý, Christopher Kiekintveld. 439-445 [doi]
• Assignment and Pricing in Roommate MarketPak Hay Chan, Xin Huang, Zhengyang Liu, Chihao Zhang, Shengyu Zhang. 446-452 [doi]
• Incentives for Strategic Behavior in Fisher Market GamesNing Chen, Xiaotie Deng, Bo Tang, Hongyang Zhang. 453-459 [doi]
• Rules for Choosing Societal TradeoffsVincent Conitzer, Rupert Freeman, Markus Brill, Yuqian Li. 460-467 [doi]
• Judgment Aggregation under Issue DependenciesMarco Costantini, Carla Groenland, Ulle Endriss. 468-474 [doi]
• Price of Pareto Optimality in Hedonic GamesEdith Elkind, Angelo Fanelli, Michele Flammini. 475-481 [doi]
• Multiwinner Analogues of the Plurality Rule: Axiomatic and Algorithmic PerspectivesPiotr Faliszewski, Piotr Skowron, Arkadii M. Slinko, Nimrod Talmon. 482-488 [doi]
• Ad Auctions and Cascade Model: GSP Inefficiency and AlgorithmsGabriele Farina, Nicola Gatti. 489-495 [doi]
• Variations on the Hotelling-Downs ModelMichal Feldman, Amos Fiat, Svetlana Obraztsova. 496-501 [doi]
• A Geometric Method to Construct Minimal Peer Prediction MechanismsRafael M. Frongillo, Jens Witkowski. 502-508 [doi]
• Sequence-Form and Evolutionary Dynamics: Realization Equivalence to Agent Form and Logit DynamicsNicola Gatti, Marcello Restelli. 509-515 [doi]
• Who Can Win a Single-Elimination Tournament?Michael P. Kim, Warut Suksompong, Virginia Vassilevska Williams. 516-522 [doi]
• When Can the Maximin Share Guarantee Be Guaranteed?David Kurokawa, Ariel D. Procaccia, Junxing Wang. 523-529 [doi]
• Multi-Attribute Proportional RepresentationJérôme Lang, Piotr Krzysztof Skowron. 530-536 [doi]
• Multi-Defender Strategic Filtering Against Spear-Phishing AttacksAron Laszka, Jian Lou, Yevgeniy Vorobeychik. 537-543 [doi]
• Counterfactual Regret Minimization in Sequential Security GamesViliam Lisý, Trevor Davis, Michael H. Bowling. 544-550 [doi]
• Optimizing Trading Assignments in Water Right MarketsYicheng Liu, Pingzhong Tang, Tingting Xu, Hang Zheng. 551-557 [doi]
• On the Complexity of mCP-netsThomas Lukasiewicz, Enrico Malizia. 558-564 [doi]
• Reinstating Combinatorial Protections for Manipulation and Bribery in Single-Peaked and Nearly Single-Peaked ElectoratesVijay Menon, Kate Larson. 565-571 [doi]
• Refining Subgames in Large Imperfect Information GamesMatej Moravcik, Martin Schmid, Karel Ha, Milan Hladík, Stephen J. Gaukrodger. 572-578 [doi]
• Complexity of Hedonic Games with Dichotomous PreferencesDominik Peters. 579-585 [doi]
• Graphical Hedonic Games of Bounded TreewidthDominik Peters. 586-593 [doi]
• Preferences Single-Peaked on Nice TreesDominik Peters, Edith Elkind. 594-600 [doi]
• Fast Optimal Clearing of Capped-Chain Barter ExchangesBenjamin Plaut, John P. Dickerson, Tuomas Sandholm. 601-607 [doi]
• Optimal Aggregation of Uncertain PreferencesAriel D. Procaccia, Nisarg Shah 0001. 608-614 [doi]
• False-Name-Proof Locations of Two Facilities: Economic and Algorithmic ApproachesAkihisa Sonoda, Taiki Todo, Makoto Yokoo. 615-621 [doi]
• Closeness Centrality for Networks with Overlapping Community StructureMateusz Krzysztof Tarkowski, Piotr L. Szczepanski, Talal Rahwan, Tomasz P. Michalak, Michael Wooldridge. 622-629 [doi]
• Computing Rational Decisions In Extensive Games With Limited ForesightPaolo Turrini. 630-636 [doi]
• Computing Optimal Monitoring Strategy for Detecting Terrorist PlotsZhen Wang, Yue Yin, Bo An. 637-643 [doi]
• Quantitative Extensions of the Condorcet Jury Theorem with Strategic AgentsLirong Xia. 644-650 [doi]
• Lift-Based Bidding in Ad SelectionJian Xu, Xuhui Shao, Jianjie Ma, Kuang-Chih Lee, Hang Qi, Quan Lu. 651-657 [doi]
• Optimizing Personalized Email Filtering Thresholds to Mitigate Sequential Spear Phishing AttacksMengchen Zhao, Bo An, Christopher Kiekintveld. 658-665 [doi]
• Unsupervised Feature Selection by Heuristic Search with Provable Bounds on SuboptimalityHiromasa Arai, Crystal Maung, Ke Xu, Haim Schweitzer. 666-672 [doi]
• Tiebreaking Strategies for A* Search: How to Explore the Final FrontierMasataro Asai, Alex S. Fukunaga. 673-679 [doi]
• CAPReS: Context Aware Persona Based Recommendation for ShoppersJoydeep Banerjee, Gurulingesh Raravi, Manoj Gupta, Sindhu K. Ernala, Shruti Kunde, Koustuv Dasgupta. 680-686 [doi]
• Nested Monte Carlo Search for Two-Player GamesTristan Cazenave, Abdallah Saffidine, Michael John Schofield, Michael Thielscher. 687-693 [doi]
• Look-Ahead with Mini-Bucket Heuristics for MPERina Dechter, Kalev Kask, William Lam, Javier Larrosa. 694-701 [doi]
• Solving the Station Repacking ProblemAlexandre Fréchette, Neil Newman, Kevin Leyton-Brown. 702-709 [doi]
• The Complexity Landscape of Decompositional Parameters for ILPRobert Ganian, Sebastian Ordyniak. 710-716 [doi]
• Abstract Zobrist Hashing: An Efficient Work Distribution Method for Parallel Best-First SearchYuu Jinnai, Alex Fukunaga. 717-723 [doi]
• Learning to Branch in Mixed Integer ProgrammingElias Boutros Khalil, Pierre Le Bodic, Le Song, George L. Nemhauser, Bistra N. Dilkina. 724-731 [doi]
• Local Search for Hard SAT Formulas: The Strength of the Polynomial LawSixue Liu, Periklis A. Papakonstantinou. 732-738 [doi]
• Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel SplittingCanyi Lu, Huan Li, Zhouchen Lin, Shuicheng Yan. 739-745 [doi]
• Combining Bounding Boxes and JPS to Prune Grid PathfindingSteve Rabin, Nathan R. Sturtevant. 746-752 [doi]
• Fast ADMM Algorithm for Distributed Optimization with Adaptive PenaltyChangkyu Song, Sejong Yoon, Vladimir Pavlovic. 753-759 [doi]
• Towards Clause-Learning State Space Search: Learning to Recognize Dead-EndsMarcel Steinmetz, Joerg Hoffmann. 760-768 [doi]
• Implementing Troubleshooting with Batch RepairRoni Stern, Meir Kalech, Hilla Shinitzky. 769-775 [doi]
• A Combinatorial Search Perspective on Diverse Solution GenerationSatya Gautam Vadlamudi, Subbarao Kambhampati. 776-783 [doi]
• On the Completeness of Best-First Search Variants That Use Random ExplorationRichard Anthony Valenzano, Fan Xie 0001. 784-790 [doi]
• DRIMUX: Dynamic Rumor Influence Minimization with User Experience in Social NetworksBiao Wang, Ge Chen, Luoyi Fu, Li Song, Xinbing Wang, Xue Liu. 791-797 [doi]
• Linearized Alternating Direction Method with Penalization for Nonconvex and Nonsmooth OptimizationYiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su. 798-804 [doi]
• Two Efficient Local Search Algorithms for Maximum Weight Clique ProblemYiyuan Wang, Shaowei Cai, Minghao Yin. 805-811 [doi]
• Relaxed Majorization-Minimization for Non-Smooth and Non-Convex OptimizationChen Xu, Zhouchen Lin, Zhenyu Zhao, Hongbin Zha. 812-818 [doi]
• Submodular Optimization with Routing ConstraintsHaifeng Zhang, Yevgeniy Vorobeychik. 819-826 [doi]
• Behavioral Experiments in Email Filter EvasionLiyiming Ke, Bo Li, Yevgeniy Vorobeychik. 827-834 [doi]
• An Oral Exam for Measuring a Dialog System's CapabilitiesDavid Cohen, Ian Lane. 835-841 [doi]
• Intelligent Advice Provisioning for Repeated InteractionPriel Levy, David Sarne. 842-849 [doi]
• A Deep Choice ModelMakoto Otsuka, Takayuki Osogami. 850-856 [doi]
• Personalized Alert Agent for Optimal User PerformanceAvraham Shvartzon, Amos Azaria, Sarit Kraus, Claudia V. Goldman, Joachim Meyer, Omer Tsimhoni. 857-864 [doi]
• Minimizing User Involvement for Learning Human Mobility Patterns from Location TracesBasma Alharbi, Abdulhakim Ali Qahtan, Xiangliang Zhang. 865-871 [doi]
• Generating CP-Nets Uniformly at RandomThomas E. Allen, Judy Goldsmith, Hayden Elizabeth Justice, Nicholas Mattei, Kayla Raines. 872-878 [doi]
• Boolean Functions with Ordered Domains in Answer Set ProgrammingMario Alviano, Wolfgang Faber, Hannes Strass. 879-885 [doi]
• A Semantical Analysis of Second-Order Propositional Modal LogicFrancesco Belardinelli, Wiebe van der Hoek. 886-892 [doi]
• A First-Order Logic of Probability and Only Knowing in Unbounded DomainsVaishak Belle, Gerhard Lakemeyer, Hector J. Levesque. 893-899 [doi]
• Explaining Inconsistency-Tolerant Query Answering over Description Logic Knowledge BasesMeghyn Bienvenu, Camille Bourgaux, François Goasdoué. 900-906 [doi]
• Automated Verification and Tightening of Failure Propagation ModelsBenjamin Bittner, Marco Bozzano, Alessandro Cimatti, Gianni Zampedri. 907-913 [doi]
• A Comparative Study of Ranking-Based Semantics for Abstract ArgumentationElise Bonzon, Jérôme Delobelle, Sébastien Konieczny, Nicolas Maudet. 914-920 [doi]
• Beyond OWL 2 QL in OBDA: Rewritings and ApproximationsElena Botoeva, Diego Calvanese, Valerio Santarelli, Domenico Fabio Savo, Alessandro Solimando, Guohui Xiao. 921-928 [doi]
• SDDs Are Exponentially More Succinct than OBDDsSimone Bova. 929-935 [doi]
• On the Containment of SPARQL Queries under Entailment RegimesMelisachew Wudage Chekol. 936-942 [doi]
• Logical Foundations of Privacy-Preserving Publishing of Linked DataBernardo Cuenca Grau, Egor V. Kostylev. 943-949 [doi]
• Verifying ConGolog Programs on Bounded Situation Calculus TheoriesGiuseppe De Giacomo, Yves Lespérance, Fabio Patrizi, Sebastian Sardiña. 950-956 [doi]
• Qualitative Spatio-Temporal Stream Reasoning with Unobservable Intertemporal Spatial Relations Using LandmarksDaniel de Leng, Fredrik Heintz. 957-963 [doi]
• Using Decomposition-Parameters for QBF: Mind the Prefix!Eduard Eiben, Robert Ganian, Sebastian Ordyniak. 964-970 [doi]
• The Complexity of LTL on Finite Traces: Hard and Easy FragmentsValeria Fionda, Gianluigi Greco. 971-977 [doi]
• SAT-to-SAT: Declarative Extension of SAT Solvers with New PropagatorsTomi Janhunen, Shahab Tasharrofi, Eugenia Ternovska. 978-984 [doi]
• Knowledge Graph Completion with Adaptive Sparse Transfer MatrixGuoliang Ji, Kang Liu, Shizhu He, Jun Zhao 0001. 985-991 [doi]
• Locally Adaptive Translation for Knowledge Graph EmbeddingYantao Jia, Yuanzhuo Wang, Hailun Lin, Xiaolong Jin, Xueqi Cheng. 992-998 [doi]
• Learning Abductive Reasoning Using Random ExamplesBrendan Juba. 999-1007 [doi]
• A Model for Learning Description Logic Ontologies Based on Exact LearningBoris Konev, Ana Ozaki, Frank Wolter. 1008-1015 [doi]
• Agenda Separability in Judgment AggregationJérôme Lang, Marija Slavkovik, Srdjan Vesic. 1016-1022 [doi]
• Basic Probabilistic Ontological Data Exchange with Existential RulesThomas Lukasiewicz, Maria Vanina Martinez, Livia Predoiu, Gerardo I. Simari. 1023-1029 [doi]
• Resistance to Corruption of Strategic ArgumentationMichael J. Maher. 1030-1036 [doi]
• Causal Explanation Under Indeterminism: A Sampling ApproachChristopher A. Merck, Samantha Kleinberg. 1037-1043 [doi]
• 'Knowing Whether' in Proper Epistemic Knowledge BasesTim Miller, Paolo Felli, Christian J. Muise, Adrian R. Pearce, Liz Sonenberg. 1044-1050 [doi]
• Ontology-Mediated Queries for NOSQL DatabasesMarie-Laure Mugnier, Marie-Christine Rousset, Federico Ulliana. 1051-1057 [doi]
• Zero-Suppressed Sentential Decision DiagramsMasaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata. 1058-1066 [doi]
• Scalable Training of Markov Logic Networks Using Approximate CountingSomdeb Sarkhel, Deepak Venugopal, Tuan Anh Pham, Parag Singla, Vibhav Gogate. 1067-1073 [doi]
• Metaphysics of Planning Domain DescriptionsSiddharth Srivastava 0001, Stuart Russell 0001, Alessandro Pinto. 1074-1080 [doi]
• Expressive Recommender Systems through Normalized Nonnegative ModelsCyril J. Stark. 1081-1087 [doi]
• Complexity Results and Algorithms for Extension Enforcement in Abstract ArgumentationJohannes Peter Wallner, Andreas Niskanen, Matti Järvisalo. 1088-1094 [doi]
• Query Answering with Inconsistent Existential Rules under Stable Model SemanticsHai Wan, Heng Zhang, Peng Xiao, Haoran Huang, Yan Zhang. 1095-1101 [doi]
• Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Compact Learn Binary CodesZhe Wang, Ling-Yu Duan, Tiejun Huang, Wen Gao. 1102-1108 [doi]
• Decidable Verification of Golog Programs over Non-Local Effect ActionsBenjamin Zarrieß, Jens Claßen. 1109-1115 [doi]
• Mapping Action Language BC to Logic Programs: A Characterization by PostulatesHaodi Zhang, Fangzhen Lin. 1116-1123 [doi]
• On the Performance of GoogLeNet and AlexNet Applied to SketchesPedro Ballester, Ricardo Matsumura Araujo. 1124-1128 [doi]
• Bayesian Inference of Recursive Sequences of Group Activities from TracksErnesto Brau, Colin Reimer Dawson, Alfredo Carrillo, David Sidi, Clayton T. Morrison. 1129-1137 [doi]
• Towards Domain Adaptive Vehicle Detection in Satellite Image by Supervised Super-Resolution TransferLiujuan Cao, Rongrong Ji, Cheng Wang, Jonathan Li. 1138-1144 [doi]
• Deep Neural Networks for Learning Graph RepresentationsShaosheng Cao, Wei Lu, Qiongkai Xu. 1145-1152 [doi]
• Discriminative Nonparametric Latent Feature Relational Models with Data AugmentationBei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang. 1153-1159 [doi]
• Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded NetworksHao Chen 0011, Qi Dou, Xi Wang, Jing Qin, Pheng-Ann Heng. 1160-1166 [doi]
• Deep Contextual Networks for Neuronal Structure SegmentationHao Chen 0011, Xiaojuan Qi, Jie-Zhi Cheng, Pheng-Ann Heng. 1167-1173 [doi]
• Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven SamplingLin Chen, Forrest W. Crawford, Amin Karbasi. 1174-1180 [doi]
• Robust Multi-View Subspace Learning through Dual Low-Rank DecompositionsZhengming Ding, Yun Fu. 1181-1187 [doi]
• Graph-without-cut: An Ideal Graph Learning for Image SegmentationLianli Gao, Jingkuan Song, Feiping Nie, Fuhao Zou, Nicu Sebe, Heng Tao Shen. 1188-1194 [doi]
• MOOCs Meet Measurement Theory: A Topic-Modelling ApproachJiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan. 1195-1201 [doi]
• Creating Images by Learning Image Semantics Using Vector Space ModelsDerrall Heath, Dan Ventura. 1202-1208 [doi]
• Efficient Learning of Timeseries ShapeletsLu Hou, James T. Kwok, Jacek M. Zurada. 1209-1215 [doi]
• Learning to Appreciate the Aesthetic Effects of ClothingJia Jia, Jie Huang, Guangyao Shen, Tao He, Zhiyuan Liu, Huan-Bo Luan, Chao Yan. 1216-1222 [doi]
• Consensus Style Centralizing Auto-Encoder for Weak Style ClassificationShuhui Jiang, Ming Shao, Chengcheng Jia, Yun Fu. 1223-1229 [doi]
• Column Sampling Based Discrete Supervised HashingWang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou. 1230-1236 [doi]
• A Framework for Outlier Description Using Constraint ProgrammingChia-Tung Kuo, Ian Davidson. 1237-1243 [doi]
• Random Mixed Field Model for Mixed-Attribute Data RestorationQiang Li, Wei Bian, Richard Yi Da Xu, Jane You, Dacheng Tao. 1244-1250 [doi]
• Learning with Marginalized Corrupted Features and Labels TogetherYingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang. 1251-1257 [doi]
• Towards Optimal Binary Code Learning via Ordinal EmbeddingHong Liu, Rongrong Ji, Yongjian Wu, Wei Liu. 1258-1265 [doi]
• Recognizing Complex Activities by a Probabilistic Interval-Based ModelLi Liu, Li Cheng, Ye Liu, Yongpo Jia, David S. Rosenblum. 1266-1272 [doi]
• Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical DataZitao Liu, Milos Hauskrecht. 1273-1279 [doi]
• Deep Learning for Algorithm PortfoliosAndrea Loreggia, Yuri Malitsky, Horst Samulowitz, Vijay A. Saraswat. 1280-1286 [doi]
• Convolutional Neural Networks over Tree Structures for Programming Language ProcessingLili Mou, Ge Li, Lu Zhang, Tao Wang, Zhi Jin. 1287-1293 [doi]
• Learning Tractable Probabilistic Models for Fault LocalizationAniruddh Nath, Pedro M. Domingos. 1294-1301 [doi]
• Unsupervised Feature Selection with Structured Graph OptimizationFeiping Nie, Wei Zhu, Xuelong Li. 1302-1308 [doi]
• Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior PredictionNhatHai Phan, Yue Wang 0009, Xintao Wu, Dejing Dou. 1309-1316 [doi]
• Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical FeaturesLam Tran, Deguang Kong, Hongxia Jin, Ji Liu 0002. 1317-1323 [doi]
• Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance LearningHua Wang, Cheng Deng, Hao Zhang, Xinbo Gao, Heng Huang. 1324-1330 [doi]
• Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix FactorizationXin Wang, Roger Donaldson, Christopher Nell, Peter Gorniak, Martin Ester, Jiajun Bu. 1331-1337 [doi]
• Instilling Social to Physical: Co-Regularized Heterogeneous Transfer LearningYing Wei, Yin Zhu, Cane Wing-ki Leung, Yangqiu Song, Qiang Yang 0001. 1338-1344 [doi]
• Exploiting an Oracle That Reports AUC Scores in Machine Learning ContestsJacob Whitehill. 1345-1351 [doi]
• Efficient Nonparametric Subgraph Detection Using Tree Shaped PriorsNannan Wu, Feng Chen, Jianxin Li, Baojian Zhou, Naren Ramakrishnan. 1352-1358 [doi]
• Factorization Ranking Model for Move Prediction in the Game of GoChenjun Xiao, Martin Müller. 1359-1365 [doi]
• Joint Multi-View Representation Learning and Image TaggingZhe Xue, Guorong Li, Qingming Huang. 1366-1372 [doi]
• Learning Deep Convolutional Neural Networks for X-Ray Protein Crystallization Image AnalysisMargot Lisa-Jing Yann, Yichuan Tang. 1373-1379 [doi]
• Linear Submodular Bandits with a Knapsack ConstraintBaosheng Yu, Meng Fang, Dacheng Tao. 1380-1386 [doi]
• Submodular Asymmetric Feature Selection in Cascade Object DetectionBaosheng Yu, Meng Fang, Dacheng Tao, Jie Yin. 1387-1393 [doi]
• Semisupervised Autoencoder for Sentiment AnalysisShuangfei Zhai, Zhongfei (Mark) Zhang. 1394-1400 [doi]
• Simultaneous Feature and Sample Reduction for Image-Set ClassificationMan Zhang, Ran He, Dong Cao, Zhenan Sun, Tieniu Tan. 1401-1407 [doi]
• Collective Noise Contrastive Estimation for Policy Transfer LearningWeinan Zhang, Ulrich Paquet, Katja Hofmann. 1408-1414 [doi]
• Learning a Hybrid Architecture for Sequence Regression and AnnotationYizhe Zhang, Ricardo Henao, Lawrence Carin, Jianling Zhong, Alexander J. Hartemink. 1415-1421 [doi]
• Pose-Dependent Low-Rank Embedding for Head Pose EstimationHandong Zhao, Zhengming Ding, Yun Fu. 1422-1428 [doi]
• Cold-Start Heterogeneous-Device Wireless LocalizationVincent W. Zheng, Hong Cao, Shenghua Gao, Aditi Adhikari, Miao Lin, Kevin Chen-Chuan Chang. 1429-1435 [doi]
• Tracking Idea Flows between Social GroupsYangxin Zhong, Shixia Liu, Xiting Wang, Jiannan Xiao, Yangqiu Song. 1436-1443 [doi]
• Fast Hybrid Algorithm for Big Matrix RecoveryTengfei Zhou, Hui Qian, Zebang Shen, Congfu Xu. 1444-1451 [doi]
• Data Poisoning Attacks against Autoregressive ModelsScott Alfeld, Xiaojin Zhu, Paul Barford. 1452-1458 [doi]
• Approximate K-Means++ in Sublinear TimeOlivier Bachem, Mario Lucic, S. Hamed Hassani, Andreas Krause. 1459-1467 [doi]
• Incremental Stochastic Factorization for Online Reinforcement LearningAndré da Motta Salles Barreto, Rafael L. Beirigo, Joelle Pineau, Doina Precup. 1468-1475 [doi]
• Increasing the Action Gap: New Operators for Reinforcement LearningMarc G. Bellemare, Georg Ostrovski, Arthur Guez, Philip S. Thomas, Rémi Munos. 1476-1483 [doi]
• Decoding Hidden Markov Models Faster Than Viterbi Via Online Matrix-Vector (max, +)-MultiplicationMassimo Cairo, Gabriele Farina, Romeo Rizzi. 1484-1490 [doi]
• Maximum Margin Dirichlet Process Mixtures for ClusteringGang Chen, Haiying Zhang, Caiming Xiong. 1491-1497 [doi]
• Progressive EM for Latent Tree Models and Hierarchical Topic DetectionPeixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen. 1498-1504 [doi]
• Knowledge Transfer with Interactive Learning of Semantic RelationshipsJonghyun Choi, Sung Ju Hwang, Leonid Sigal, Larry S. Davis. 1505-1511 [doi]
• Robustness of Bayesian Pool-Based Active Learning Against Prior MisspecificationNguyen Viet Cuong, Nan Ye, Wee Sun Lee. 1512-1518 [doi]
• Learning Step Size Controllers for Robust Neural Network TrainingChristian Daniel, Jonathan Taylor, Sebastian Nowozin. 1519-1525 [doi]
• Reconstructing Hidden Permutations Using the Average-Precision (AP) Correlation StatisticLorenzo De Stefani, Alessandro Epasto, Eli Upfal, Fabio Vandin. 1526-1532 [doi]
• Generalised Brown Clustering and Roll-Up Feature GenerationLeon Derczynski, Sean Chester. 1533-1539 [doi]
• Random Composite ForestsGiulia DeSalvo, Mehryar Mohri. 1540-1546 [doi]
• The Ostomachion ProcessXuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen. 1547-1553 [doi]
• Indexable Probabilistic Matrix Factorization for Maximum Inner Product SearchMarco Fraccaro, Ulrich Paquet, Ole Winther. 1554-1560 [doi]
• Fast Lasso Algorithm via Selective Coordinate DescentYasuhiro Fujiwara, Yasutoshi Ida, Hiroaki Shiokawa, Sotetsu Iwamura. 1561-1567 [doi]
• Group and Graph Joint Sparsity for Linked Data ClassificationLongwen Gao, Shuigeng Zhou. 1568-1574 [doi]
• Risk Minimization in the Presence of Label NoiseWei Gao, Lu Wang, Yu-Feng Li, Zhi-Hua Zhou. 1575-1581 [doi]
• Decentralized Approximate Bayesian Inference for Distributed Sensor NetworkBehnam Gholami, Sejong Yoon, Vladimir Pavlovic. 1582-1588 [doi]
• Assumed Density Filtering Methods for Learning Bayesian Neural NetworksSoumya Ghosh, Francesco Maria Delle Fave, Jonathan S. Yedidia. 1589-1595 [doi]
• Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning FasterJesse Glass, Mohamed F. Ghalwash, Milan Vukicevic, Zoran Obradovic. 1596-1602 [doi]
• Uncertainty Propagation in Long-Term Structured Regression on Evolving NetworksDjordje Gligorijevic, Jelena Stojanovic, Zoran Obradovic. 1603-1609 [doi]
• Teaching-to-Learn and Learning-to-Teach for Multi-label PropagationChen Gong, Dacheng Tao, Jie Yang, Wei Liu. 1610-1616 [doi]
• Discriminative Analysis Dictionary LearningJun Guo, Yanqing Guo, Xiangwei Kong, Man Zhang, Ran He. 1617-1623 [doi]
• Active Learning with Cross-Class Knowledge TransferYuchen Guo, Guiguang Ding, Yuqi Wang, Xiaoming Jin. 1624-1630 [doi]
• Generalized Emphatic Temporal Difference Learning: Bias-Variance AnalysisAssaf Hallak, Aviv Tamar, Rémi Munos, Shie Mannor. 1631-1637 [doi]
• Multi-Stage Multi-Task Learning with Reduced RankLei Han, Yu Zhang. 1638-1644 [doi]
• Reduction Techniques for Graph-Based Convex ClusteringLei Han, Yu Zhang. 1645-1651 [doi]
• SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data StreamAhsanul Haque, Latifur Khan, Michael Baron. 1652-1658 [doi]
• Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce HubnessKazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic. 1659-1665 [doi]
• Discriminative Vanishing Component AnalysisChenping Hou, Feiping Nie, Dacheng Tao. 1666-1672 [doi]
• Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares RegressionMing Hou, Qibin Zhao, Brahim Chaib-draa, Andrzej Cichocki. 1673-1679 [doi]
• Multi-Label Manifold LearningPeng Hou, Xin Geng, Min-Ling Zhang. 1680-1686 [doi]
• Optimal Discrete Matrix CompletionZhouyuan Huo, Ji Liu, Heng Huang. 1687-1693 [doi]
• Conservativeness of Untied Auto-EncodersDaniel Jiwoong Im, Mohamed Ishmael Diwan Belghazi, Roland Memisevic. 1694-1700 [doi]
• Infinite Plaid Models for Infinite Bi-ClusteringKatsuhiko Ishiguro, Issei Sato, Masahiro Nakano, Akisato Kimura, Naonori Ueda. 1701-1708 [doi]
• Improving Predictive State Representations via Gradient DescentNan Jiang, Alex Kulesza, Satinder P. Singh. 1709-1715 [doi]
• A Probabilistic Approach to Knowledge TranslationShangpu Jiang, Daniel Lowd, Dejing Dou. 1716-1722 [doi]
• The l2, 1-Norm Stacked Robust Autoencoders for Domain AdaptationWenhao Jiang, Hongchang Gao, Fu-Lai Chung, Heng Huang. 1723-1729 [doi]
• Wishart Mechanism for Differentially Private Principal Components AnalysisWuxuan Jiang, Cong Xie, Zhihua Zhang. 1730-1736 [doi]
• Deep Learning with S-Shaped Rectified Linear Activation UnitsXiaojie Jin, Chunyan Xu, Jiashi Feng, Yunchao Wei, Junjun Xiong, Shuicheng Yan. 1737-1743 [doi]
• Delay-Tolerant Online Convex Optimization: Unified Analysis and Adaptive-Gradient AlgorithmsPooria Joulani, András György, Csaba Szepesvári. 1744-1750 [doi]
• Shakeout: A New Regularized Deep Neural Network Training SchemeGuoliang Kang, Jun Li, Dacheng Tao. 1751-1757 [doi]
• Bounded Optimal Exploration in MDPKenji Kawaguchi. 1758-1764 [doi]
• Uncorrelated Group LASSODeguang Kong, Ji Liu 0002, Bo Liu, Xuan Bao. 1765-1771 [doi]
• Learning Future Classifiers without Additional DataAtsutoshi Kumagai, Tomoharu Iwata. 1772-1778 [doi]
• Compressed Conditional Mean Embeddings for Model-Based Reinforcement LearningGuy Lever, John Shawe-Taylor, Ronnie Stafford, Csaba Szepesvári. 1779-1787 [doi]
• Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural NetworksChunyuan Li, Changyou Chen, David E. Carlson, Lawrence Carin. 1788-1794 [doi]
• High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep ModelsChunyuan Li, Changyou Chen, Kai Fan, Lawrence Carin. 1795-1801 [doi]
• Multi-Objective Self-Paced LearningHao Li, Maoguo Gong, Deyu Meng, Qiguang Miao. 1802-1808 [doi]
• Scalable Sequential Spectral ClusteringYeqing Li, JunZhou Huang, Wei Liu. 1809-1815 [doi]
• Towards Safe Semi-Supervised Learning for Multivariate Performance MeasuresYu-Feng Li, James T. Kwok, Zhi-Hua Zhou. 1816-1822 [doi]
• Accelerating Random Kaczmarz Algorithm Based on Clustering InformationYujun Li, Kaichun Mo, Haishan Ye. 1823-1829 [doi]
• Fast and Accurate Refined Nyström-Based Kernel SVMZhe Li, Tianbao Yang, Lijun Zhang 0005, Rong Jin. 1830-1836 [doi]
• How Important Is Weight Symmetry in Backpropagation?Qianli Liao, Joel Z. Leibo, Tomaso A. Poggio. 1837-1844 [doi]
• Re-Active Learning: Active Learning with RelabelingChristopher H. Lin, Mausam, Daniel S. Weld. 1845-1852 [doi]
• Interaction Point Processes via Infinite Branching ModelPeng Lin, Bang Zhang, Ting Guo, Yang Wang, Fang Chen. 1853-1859 [doi]
• Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and BeyondChun Kai Ling, Kian Hsiang Low, Patrick Jaillet. 1860-1866 [doi]
• Online ARIMA Algorithms for Time Series PredictionChenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun. 1867-1873 [doi]
• Consensus Guided Unsupervised Feature SelectionHongfu Liu, Ming Shao, Yun Fu. 1874-1880 [doi]
• Sparse Perceptron Decision Tree for Millions of DimensionsWeiwei Liu, Ivor W. Tsang. 1881-1887 [doi]
• k-Means Clustering with Matrix-Induced RegularizationXinwang Liu, Yong Dou, Jianping Yin, Lei Wang 0001, En Zhu. 1888-1894 [doi]
• Finding One's Best Crowd: Online Learning By Exploiting Source SimilarityYang Liu, Mingyan Liu. 1895-1901 [doi]
• Learning FRAME Models Using CNN FiltersYang Lu, Song Chun Zhu, Ying Nian Wu. 1902-1910 [doi]
• Sparse Latent Space Policy SearchKevin Sebastian Luck, Joni Pajarinen, Erik Berger, Ville Kyrki, Heni Ben Amor. 1911-1918 [doi]
• Expected Tensor Decomposition with Stochastic Gradient DescentTakanori Maehara, Kohei Hayashi, Ken-ichi Kawarabayashi. 1919-1925 [doi]
• Offline Evaluation of Online Reinforcement Learning AlgorithmsTravis Mandel, Yun-En Liu, Emma Brunskill, Zoran Popovic. 1926-1933 [doi]
• Reinforcement Learning with Parameterized ActionsWarwick Masson, Pravesh Ranchod, George Konidaris. 1934-1940 [doi]
• Fixed-Rank Supervised Metric Learning on Riemannian ManifoldYadong Mu. 1941-1947 [doi]
• All-in Text: Learning Document, Label, and Word Representations JointlyJinseok Nam, Eneldo Loza Mencía, Johannes Fürnkranz. 1948-1954 [doi]
• Holographic Embeddings of Knowledge GraphsMaximilian Nickel, Lorenzo Rosasco, Tomaso A. Poggio. 1955-1961 [doi]
• New l1-Norm Relaxations and Optimizations for Graph ClusteringFeiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang. 1962-1968 [doi]
• The Constrained Laplacian Rank Algorithm for Graph-Based ClusteringFeiping Nie, Xiaoqian Wang, Michael I. Jordan, Heng Huang. 1969-1976 [doi]
• Efficient PAC-Optimal Exploration in Concurrent, Continuous State MDPs with Delayed UpdatesJason Pazis, Ronald Parr. 1977-1985 [doi]
• Viral Clustering: A Robust Method to Extract Structures in Heterogeneous DatasetsVahan Petrosyan, Alexandre Proutière. 1986-1992 [doi]
• Inverse Reinforcement Learning through Policy Gradient MinimizationMatteo Pirotta, Marcello Restelli. 1993-1999 [doi]
• Scaling Simultaneous Optimistic Optimization for High-Dimensional Non-Convex Functions with Low Effective DimensionsHong Qian, Yang Yu. 2000-2006 [doi]
• Selecting Near-Optimal Learners via Incremental Data AllocationAshish Sabharwal, Horst Samulowitz, Gerald Tesauro. 2007-2015 [doi]
• Scalable Algorithms for Tractable Schatten Quasi-Norm MinimizationFanhua Shang, Yuanyuan Liu, James Cheng. 2016-2022 [doi]
• Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain AdaptationMing Shao, Zhengming Ding, Handong Zhao, Yun Fu. 2023-2029 [doi]
• Metric Learning for Ordinal DataYuan Shi, Wenzhe Li, Fei Sha. 2030-2036 [doi]
• Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection SummarizationAdish Singla, Sebastian Tschiatschek, Andreas Krause. 2037-2043 [doi]
• Bayesian Matrix Completion via Adaptive Relaxed Spectral RegularizationYang Song, Jun Zhu. 2044-2050 [doi]
• Marginalized Continuous Time Bayesian Networks for Network Reconstruction from Incomplete ObservationsLukas Studer, Loïc Paulevé, Christoph Zechner, Matthias Reumann, María Rodríguez Martínez, Heinz Koeppl. 2051-2057 [doi]
• Return of Frustratingly Easy Domain AdaptationBaochen Sun, Jiashi Feng, Kate Saenko. 2058-2065 [doi]
• On the Depth of Deep Neural Networks: A Theoretical ViewShizhao Sun, Wei Chen, Liwei Wang, Xiaoguang Liu, Tie-Yan Liu. 2066-2072 [doi]
• Linear-Time Learning on Distributions with Approximate Kernel EmbeddingsDougal J. Sutherland, Junier B. Oliva, Barnabás Póczos, Jeff G. Schneider. 2073-2079 [doi]
• Learning Sparse Confidence-Weighted Classifier on Very High Dimensional DataMingkui Tan, Yan Yan, Li Wang, Anton van den Hengel, Ivor W. Tsang, Qinfeng (Javen) Shi. 2080-2086 [doi]
• Algorithms for Differentially Private Multi-Armed BanditsAristide C. Y. Tossou, Christos Dimitrakakis. 2087-2093 [doi]
• Deep Reinforcement Learning with Double Q-LearningHado van Hasselt, Arthur Guez, David Silver. 2094-2100 [doi]
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• Learning Expected Hitting Time DistanceDe-Chuan Zhan, Peng Hu, Zui Chu, Zhi-Hua Zhou. 2309-2314 [doi]
• Stochastic Optimization for Kernel PCALijun Zhang 0005, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou. 2315-2322 [doi]
• Asynchronous Distributed Semi-Stochastic Gradient OptimizationRuiliang Zhang, Shuai Zheng 0004, James T. Kwok. 2323-2329 [doi]
• An Alternating Proximal Splitting Method with Global Convergence for Nonconvex Structured Sparsity OptimizationShubao Zhang, Hui Qian, Xiaojin Gong. 2330-2336 [doi]
• Accelerated Sparse Linear Regression via Random ProjectionWeizhong Zhang, Lijun Zhang 0005, Rong Jin, Deng Cai, Xiaofei He. 2337-2343 [doi]
• Large-Scale Graph-Based Semi-Supervised Learning via Tree Laplacian SolverYan-Ming Zhang, Xu-Yao Zhang, Xiao-Tong Yuan, Cheng-Lin Liu. 2344-2350 [doi]
• Near-Optimal Active Learning of Multi-Output Gaussian ProcessesYehong Zhang, Trong Nghia Hoang, Kian Hsiang Low, Mohan S. Kankanhalli. 2351-2357 [doi]
• Multi-Domain Active Learning for RecommendationZihan Zhang, Xiaoming Jin, Lianghao Li, Guiguang Ding, Qiang Yang 0001. 2358-2364 [doi]
• On the Differential Privacy of Bayesian InferenceZuhe Zhang, Benjamin I. P. Rubinstein, Christos Dimitrakakis. 2365-2371 [doi]
• A Scalable and Extensible Framework for Superposition-Structured ModelsShenjian Zhao, Cong Xie, Zhihua Zhang. 2372-2378 [doi]
• Fast Asynchronous Parallel Stochastic Gradient Descent: A Lock-Free Approach with Convergence GuaranteeShen-Yi Zhao, Wu-Jun Li. 2379-2385 [doi]
• DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional ArraysShandian Zhe, Yuan Qi, Youngja Park, Zenglin Xu, Ian Molloy, Suresh Chari. 2386-2392 [doi]
• Fast Nonsmooth Regularized Risk Minimization with ContinuationShuai Zheng 0004, Ruiliang Zhang, James T. Kwok. 2393-2399 [doi]
• Transfer Learning for Cross-Language Text Categorization through Active Correspondences ConstructionJoey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Shen-Shyang Ho. 2400-2406 [doi]
• Veto-Consensus Multiple Kernel LearningYuxun Zhou, Ninghang Hu, Costas J. Spanos. 2407-2414 [doi]
• Deep Hashing Network for Efficient Similarity RetrievalHan Zhu, Mingsheng Long, Jianmin Wang 0001, Yue Cao. 2415-2421 [doi]
• Coupled Dictionary Learning for Unsupervised Feature SelectionPengfei Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo. 2422-2428 [doi]
• Stochastic Parallel Block Coordinate Descent for Large-Scale Saddle Point ProblemsZhanxing Zhu, Amos J. Storkey. 2429-2437 [doi]
• Temporal Vaccination Games under Resource ConstraintsAbhijin Adiga, Anil Vullikanti. 2438-2444 [doi]
• Detection of Plan Deviation in Multi-Agent SystemsBikramjit Banerjee, Steven Loscalzo, Daniel Lucas Thompson. 2445-2451 [doi]
• Complexity of Shift Bribery in Committee ElectionsRobert Bredereck, Piotr Faliszewski, Rolf Niedermeier, Nimrod Talmon. 2452-2458 [doi]
• Global Model Checking on Pushdown Multi-Agent SystemsTaolue Chen, Fu Song, Zhilin Wu. 2459-2465 [doi]
• Frugal Bribery in VotingPalash Dey, Neeldhara Misra, Y. Narahari. 2466-2472 [doi]
• Target Surveillance in Adversarial Environments Using POMDPsMaxim Egorov, Mykel J. Kochenderfer, Jaak J. Uudmae. 2473-2479 [doi]
• Multi-Variable Agents Decomposition for DCOPsFerdinando Fioretto, William Yeoh 0001, Enrico Pontelli. 2480-2486 [doi]
• Implicit Coordination in Crowded Multi-Agent NavigationJulio Erasmo Godoy, Ioannis Karamouzas, Stephen J. Guy, Maria L. Gini. 2487-2493 [doi]
• Emergence of Social Punishment and Cooperation through Prior CommitmentsThe Anh Han. 2494-2500 [doi]
• Efficient Computation of Emergent Equilibrium in Agent-Based SimulationZehong Hu, Meng Sha, Moath Jarrah, Jie Zhang, Hui Xi. 2501-2508 [doi]
• Strengthening Agents Strategic Ability with CommunicationXiaowei Huang, Qingliang Chen, Kaile Su. 2509-2515 [doi]
• Model Checking Probabilistic Knowledge: A PSPACE CaseXiaowei Huang, Marta Kwiatkowska. 2516-2522 [doi]
• Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic EnvironmentsMiao Liu, Christopher Amato, Emily P. Anesta, John Daniel Griffith, Jonathan P. How. 2523-2529 [doi]
• Bayesian Learning of Other Agents' Finite Controllers for Interactive POMDPsAlessandro Panella, Piotr J. Gmytrasiewicz. 2530-2536 [doi]
• Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPsPhilipp Robbel, Frans A. Oliehoek, Mykel J. Kochenderfer. 2537-2543 [doi]
• ConTaCT: Deciding to Communicate during Time-Critical Collaborative Tasks in Unknown, Deterministic DomainsVaibhav V. Unhelkar, Julie A. Shah. 2544-2550 [doi]
• Is It Harmful When Advisors Only Pretend to Be Honest?Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu. 2551-2557 [doi]
• Robust Execution of BDI Agent Programs by Exploiting Synergies Between IntentionsYuan Yao, Brian Logan, John Thangarajah. 2558-2565 [doi]
• Short Text Representation for Detecting Churn in MicroblogsHadi Amiri, Hal Daumé III. 2566-2572 [doi]
• Topic Concentration in Query Focused Summarization DatasetsTal Baumel, Raphael Cohen, Michael Elhadad. 2573-2579 [doi]
• Combining Retrieval, Statistics, and Inference to Answer Elementary Science QuestionsPeter Clark, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter D. Turney, Daniel Khashabi. 2580-2586 [doi]
• Verb Pattern: A Probabilistic Semantic Representation on VerbsWanyun Cui, Xiyou Zhou, Hangyu Lin, Yanghua Xiao, Haixun Wang, Seung-won Hwang, Wei Wang. 2587-2593 [doi]
• ExTaSem! Extending, Taxonomizing and Semantifying Domain TerminologiesLuis Espinosa Anke, Horacio Saggion, Francesco Ronzano, Roberto Navigli. 2594-2600 [doi]
• A Unified Bayesian Model of Scripts, Frames and LanguageFrancis Ferraro, Benjamin Van Durme. 2601-2607 [doi]
• Single or Multiple? Combining Word Representations Independently Learned from Text and WordNetJosu Goikoetxea, Eneko Agirre, Aitor Soroa. 2608-2614 [doi]
• Representing Verbs as Argument ConceptsYu Gong, Kaiqi Zhao, Kenny Qili Zhu. 2615-2621 [doi]
• A Generative Model of Words and Relationships from Multiple SourcesStephanie L. Hyland, Theofanis Karaletsos, Gunnar Rätsch. 2622-2629 [doi]
• Agreement on Target-Bidirectional LSTMs for Sequence-to-Sequence LearningLemao Liu, Andrew M. Finch, Masao Utiyama, Eiichiro Sumita. 2630-2637 [doi]
• Fine-Grained Semantic Conceptualization of FrameNetJin-Woo Park, Seung-won Hwang, Haixun Wang. 2638-2644 [doi]
• Dependency Tree Representations of Predicate-Argument StructuresLikun Qiu, Yue Zhang, Meishan Zhang. 2645-2651 [doi]
• Complementing Semantic Roles with Temporally Anchored Spatial Knowledge: Crowdsourced Annotations and ExperimentsAlakananda Vempala, Eduardo Blanco. 2652-2658 [doi]
• Representation Learning of Knowledge Graphs with Entity DescriptionsRuobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, Maosong Sun. 2659-2665 [doi]
• Hashtag-Based Sub-Event Discovery Using Mutually Generative LDA in TwitterChen Xing, Yuan Wang, Jie Liu, Yalou Huang, Wei-Ying Ma. 2666-2672 [doi]
• PEAK: Pyramid Evaluation via Automated Knowledge ExtractionQian Yang, Rebecca J. Passonneau, Gerard de Melo. 2673-2680 [doi]
• Instructable Intelligent Personal AgentAmos Azaria, Jayant Krishnamurthy, Tom M. Mitchell. 2681-2689 [doi]
• Joint Word Representation Learning Using a Corpus and a Semantic LexiconDanushka Bollegala, Mohammed Alsuhaibani, Takanori Maehara, Ken-ichi Kawarabayashi. 2690-2696 [doi]
• Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language TextSnigdha Chaturvedi, Dan Goldwasser, Hal Daumé III. 2697-2703 [doi]
• Modeling Evolving Relationships Between Characters in Literary NovelsSnigdha Chaturvedi, Shashank Srivastava, Hal Daumé III, Chris Dyer. 2704-2710 [doi]
• Jointly Modeling Topics and Intents with Global Order StructureBei Chen, Jun Zhu, Nan Yang, Tian Tian 0001, Ming Zhou, Bo Zhang. 2711-2717 [doi]
• Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical TextSahil Garg, Aram Galstyan, Ulf Hermjakob, Daniel Marcu. 2718-2726 [doi]
• What Happens Next? Event Prediction Using a Compositional Neural Network ModelMark Granroth-Wilding, Stephen Clark. 2727-2733 [doi]
• A Representation Learning Framework for Multi-Source Transfer ParsingJiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, Ting Liu. 2734-2740 [doi]
• Character-Aware Neural Language ModelsYoon Kim, Yacine Jernite, David Sontag, Alexander M. Rush. 2741-2749 [doi]
• Implicit Discourse Relation Classification via Multi-Task Neural NetworksYang Liu, Sujian Li, Xiaodong Zhang, Zhifang Sui. 2750-2756 [doi]
• Convolution Kernels for Discriminative Learning from Streaming TextMichal Lukasik, Trevor Cohn. 2757-2763 [doi]
• Numerical Relation Extraction with Minimal SupervisionAman Madaan, Ashish Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi. 2764-2771 [doi]
• Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action SequencesHongyuan Mei, Mohit Bansal, Matthew R. Walter. 2772-2778 [doi]
• Addressing a Question Answering Challenge by Combining Statistical Methods with Inductive Rule Learning and ReasoningArindam Mitra, Chitta Baral. 2779-2785 [doi]
• Siamese Recurrent Architectures for Learning Sentence SimilarityJonas Mueller, Aditya Thyagarajan. 2786-2792 [doi]
• Text Matching as Image RecognitionLiang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng. 2793-2799 [doi]
• Learning Statistical Scripts with LSTM Recurrent Neural NetworksKarl Pichotta, Raymond J. Mooney. 2800-2806 [doi]
• Inferring Interpersonal Relations in Narrative SummariesShashank Srivastava, Snigdha Chaturvedi, Tom Mitchell. 2807-2813 [doi]
• Evaluation of Semantic Dependency Labeling Across DomainsSvetlana Stoyanchev, Amanda Stent, Srinivas Bangalore. 2814-2820 [doi]
• Inside Out: Two Jointly Predictive Models for Word Representations and Phrase RepresentationsFei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng. 2821-2827 [doi]
• Non-Linear Similarity Learning for CompositionalityMasashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto. 2828-2834 [doi]
• A Deep Architecture for Semantic Matching with Multiple Positional Sentence RepresentationsShengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng. 2835-2841 [doi]
• Morphological Segmentation with Window LSTM Neural NetworksLinlin Wang, Zhu Cao, Yu Xia, Gerard de Melo. 2842-2848 [doi]
• Minimally-Constrained Multilingual Embeddings via Artificial Code-SwitchingMichael Wick, Pallika Kanani, Adam Pocock. 2849-2855 [doi]
• Syntactic Skeleton-Based TranslationTong Xiao, Jingbo Zhu, Chunliang Zhang, Tongran Liu. 2856-2862 [doi]
• A Morphology-Aware Network for Morphological DisambiguationEray Yildiz, Caglar Tirkaz, H. Bahadir Sahin, Mustafa Tolga Eren, Omer Ozan Sonmez. 2863-2869 [doi]
• Building Earth Mover's Distance on Bilingual Word Embeddings for Machine TranslationMeng Zhang, Yang Liu 0005, Huan-Bo Luan, Maosong Sun, Tatsuya Izuha, Jie Hao. 2870-2876 [doi]
• Semi-Supervised Multinomial Naive Bayes for Text Classification by Leveraging Word-Level Statistical ConstraintLi Zhao, Minlie Huang, Ziyu Yao, Rongwei Su, Yingying Jiang, Xiaoyan Zhu. 2877-2884 [doi]
• Labeling the Semantic Roles of CommasNaveen Arivazhagan, Christos Christodoulopoulos, Dan Roth. 2885-2891 [doi]
• Collective Supervision of Topic Models for Predicting Surveys with Social MediaAdrian Benton, Michael J. Paul, Braden Hancock, Mark Dredze. 2892-2898 [doi]
• Distant IE by Bootstrapping Using Lists and Document StructureLidong Bing, Mingyang Ling, Richard C. Wang, William W. Cohen. 2899-2905 [doi]
• TGSum: Build Tweet Guided Multi-Document Summarization DatasetZiqiang Cao, Chengyao Chen, Wenjie Li, Sujian Li, Furu Wei, Ming Zhou. 2906-2912 [doi]
• Joint Inference over a Lightly Supervised Information Extraction Pipeline: Towards Event Coreference Resolution for Resource-Scarce LanguagesChen Chen, Vincent Ng. 2913-2920 [doi]
• Discourse Relations Detection via a Mixed Generative-Discriminative FrameworkJifan Chen, Qi Zhang, Pengfei Liu, Xuanjing Huang. 2921-2927 [doi]
• Age of Exposure: A Model of Word LearningMihai Dascalu, Danielle S. McNamara, Scott A. Crossley, Stefan Trausan-Matu. 2928-2934 [doi]
• Acquiring Knowledge of Affective Events from Blogs Using Label PropagationHaibo Ding, Ellen Riloff. 2935-2942 [doi]
• To Swap or Not to Swap? Exploiting Dependency Word Pairs for Reordering in Statistical Machine TranslationChristian Hadiwinoto, Yang Liu, Hwee Tou Ng. 2943-2949 [doi]
• Global Distant Supervision for Relation ExtractionXianpei Han, Le Sun. 2950-2956 [doi]
• Extracting Topical Phrases from Clinical DocumentsYulan He. 2957-2963 [doi]
• Topical Analysis of Interactions Between News and Social MediaTing Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan. 2964-2971 [doi]
• News Verification by Exploiting Conflicting Social Viewpoints in MicroblogsZhiwei Jin, Juan Cao, Yongdong Zhang, Jiebo Luo. 2972-2978 [doi]
• Argument Mining from Speech: Detecting Claims in Political DebatesMarco Lippi, Paolo Torroni. 2979-2985 [doi]
• Improving Opinion Aspect Extraction Using Semantic Similarity and Aspect AssociationsQian Liu, Bing Liu, Yuanlin Zhang, Doo Soon Kim, Zhiqiang Gao. 2986-2992 [doi]
• A Probabilistic Soft Logic Based Approach to Exploiting Latent and Global Information in Event ClassificationShulin Liu, Kang Liu, Shizhu He, Jun Zhao 0001. 2993-2999 [doi]
• Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos Based on Semantic EmbeddingGuangyi Lv, Tong Xu, Enhong Chen, Qi Liu, Yi Zheng. 3000-3006 [doi]
• Joint Word Segmentation, POS-Tagging and Syntactic ChunkingChen Lyu, Yue Zhang, Donghong Ji. 3007-3014 [doi]
• Microsummarization of Online Reviews: An Experimental StudyRebecca Mason, Benjamin Gaska, Benjamin Van Durme, Pallavi Choudhury, Ted Hart, Bill Dolan, Kristina Toutanova, Margaret Mitchell. 3015-3021 [doi]
• A Semi-Supervised Learning Approach to Why-Question AnsweringJong-Hoon Oh, Kentaro Torisawa, Chikara Hashimoto, Ryu Iida, Masahiro Tanaka, Julien Kloetzer. 3022-3029 [doi]
• Discovering User Attribute Stylistic Differences via ParaphrasingDaniel Preotiuc-Pietro, Wei Xu, Lyle H. Ungar. 3030-3037 [doi]
• Improving Twitter Sentiment Classification Using Topic-Enriched Multi-Prototype Word EmbeddingsYafeng Ren, Yue Zhang, Meishan Zhang, Donghong Ji. 3038-3044 [doi]
• Temporal Topic Analysis with Endogenous and Exogenous ProcessesBaiyang Wang, Diego Klabjan. 3045-3051 [doi]
• Identifying Search Keywords for Finding Relevant Social Media PostsShuai Wang, Zhiyuan Chen, Bing Liu 0001, Sherry Emery. 3052-3058 [doi]
• Personalized Microblog Sentiment Classification via Multi-Task LearningFangzhao Wu, Yongfeng Huang. 3059-3065 [doi]
• Improving Recommendation of Tail Tags for Questions in Community Question AnsweringYu Wu, Wei Wu, Zhoujun Li, Ming Zhou. 3066-3072 [doi]
• Exploring Multiple Feature Spaces for Novel Entity DiscoveryZhaohui Wu, Yang Song, C. Lee Giles. 3073-3079 [doi]
• Tweet Timeline Generation with Determinantal Point ProcessesJin-ge Yao, Feifan Fan, Wayne Xin Zhao, Xiaojun Wan, Edward Y. Chang, Jianguo Xiao. 3080-3086 [doi]
• Gated Neural Networks for Targeted Sentiment AnalysisMeishan Zhang, Yue Zhang, Duy-Tin Vo. 3087-3093 [doi]
• A Joint Model for Question Answering over Multiple Knowledge BasesYuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao 0001. 3094-3100 [doi]
• A Joint Model for Entity Set Expansion and Attribute Extraction from Web Search QueriesZhenzhong Zhang, Le Sun, Xianpei Han. 3101-3107 [doi]
• Aggregating Inter-Sentence Information to Enhance Relation ExtractionHao Zheng, Zhoujun Li, Senzhang Wang, Zhao Yan, Jianshe Zhou. 3108-3115 [doi]
• Dynamic Controllability of Disjunctive Temporal Networks: Validation and Synthesis of Executable StrategiesAlessandro Cimatti, Andrea Micheli, Marco Roveri. 3116-3122 [doi]
• Truncated Approximate Dynamic Programming with Task-Dependent Terminal ValueAmir Massoud Farahmand, Daniel Nikolaev Nikovski, Yuji Igarashi, Hiroki Konaka. 3123-3129 [doi]
• General Error Bounds in Heuristic Search Algorithms for Stochastic Shortest Path ProblemsEric A. Hansen, Ibrahim Abdoulahi. 3130-3137 [doi]
• Solving Risk-Sensitive POMDPs With and Without Cost ObservationsPing Hou, William Yeoh 0001, Pradeep Varakantham. 3138-3144 [doi]
• Randomised Procedures for Initialising and Switching Actions in Policy IterationShivaram Kalyanakrishnan, Neeldhara Misra, Aditya Gopalan. 3145-3151 [doi]
• Goal Recognition Design with Non-Observable ActionsSarah Keren, Avigdor Gal, Erez Karpas. 3152-3158 [doi]
• Computing Contingent Plans Using Online ReplanningRadimir Komarnitsky, Guy Shani. 3159-3165 [doi]
• Multi-Agent Path Finding with Payload Transfers and the Package-Exchange Robot-Routing ProblemHang Ma, Craig A. Tovey, Guni Sharon, T. K. Satish Kumar, Sven Koenig. 3166-3173 [doi]
• Solving Transition-Independent Multi-Agent MDPs with Sparse Interactions Joris Scharpff, Diederik M. Roijers, Frans A. Oliehoek, Matthijs T. J. Spaan, Mathijs Michiel de Weerdt. 3174-3180 [doi]
• Solving Goal Recognition Design Using ASPTran Cao Son, Orkunt Sabuncu, Christian Schulz-Hanke, Torsten Schaub, William Yeoh 0001. 3181-3187 [doi]
• Efficient Macroscopic Urban Traffic Models for Reducing Congestion: A PDDL+ Planning ApproachMauro Vallati, Daniele Magazzeni, Bart De Schutter, Lukás Chrpa, Thomas Leo McCluskey. 3188-3194 [doi]
• A Proactive Sampling Approach to Project Scheduling under UncertaintyPradeep Varakantham, Na Fu, Hoong Chuin Lau. 3195-3201 [doi]
• A POMDP Formulation of Proactive LearningKyle Hollins Wray, Shlomo Zilberstein. 3202-3208 [doi]
• Approximation Algorithms for Route Planning with Nonlinear ObjectivesGer Yang, Evdokia Nikolova. 3209-3217 [doi]
• Approximate Probabilistic Inference via Word-Level CountingSupratik Chakraborty, Kuldeep S. Meel, Rakesh Mistry, Moshe Y. Vardi. 3218-3224 [doi]
• A Symbolic SAT-Based Algorithm for Almost-Sure Reachability with Small Strategies in POMDPsKrishnendu Chatterjee, Martin Chmelik, Jessica Davies. 3225-3232 [doi]
• Structured Features in Naive Bayes ClassificationArthur Choi, Nazgol Tavabi, Adnan Darwiche. 3233-3240 [doi]
• On Parameter Tying by QuantizationLi Chou, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate. 3241-3247 [doi]
• Exact Sampling with Integer Linear Programs and Random PerturbationsCarolyn Kim, Ashish Sabharwal, Stefano Ermon. 3248-3254 [doi]
• From Exact to Anytime Solutions for Marginal MAPJunkyu Lee, Radu Marinescu 0002, Rina Dechter, Alexander T. Ihler. 3255-3262 [doi]
• On Learning Causal Models from Relational DataSanghack Lee, Vasant Honavar. 3263-3270 [doi]
• Online Spatio-Temporal Matching in Stochastic and Dynamic DomainsMeghna Lowalekar, Pradeep Varakantham, Patrick Jaillet. 3271-3277 [doi]
• Scaling Relational Inference Using Proofs and RefutationsRavi Mangal, Xin Zhang, Aditya Kamath, Aditya V. Nori, Mayur Naik. 3278-3286 [doi]
• Closed-Form Gibbs Sampling for Graphical Models with Algebraic ConstraintsHadi Mohasel Afshar, Scott Sanner, Christfried Webers. 3287-3293 [doi]
• Learning Bayesian Networks with Bounded Tree-width via Guided SearchSiqi Nie, Cassio Polpo de Campos, Qiang Ji. 3294-3300 [doi]
• Learning Ensembles of Cutset NetworksTahrima Rahman, Vibhav Gogate. 3301-3307 [doi]
• RAO*: An Algorithm for Chance-Constrained POMDP'sPedro Henrique Rodrigues Quemel e Assis Santana, Sylvie Thiébaux, Brian Williams. 3308-3314 [doi]
• Separators and Adjustment Sets in Markov Equivalent DAGsBenito van der Zander, Maciej Liskiewicz. 3315-3321 [doi]
• Closing the Gap Between Short and Long XORs for Model CountingShengjia Zhao, Sorathan Chaturapruek, Ashish Sabharwal, Stefano Ermon. 3322-3329 [doi]
• Distance Minimization for Reward Learning from Scored TrajectoriesBenjamin Burchfiel, Carlo Tomasi, Ronald Parr. 3330-3336 [doi]
• Efficient Spatio-Temporal Tactile Object Recognition with Randomized Tiling Convolutional Networks in a Hierarchical Fusion StrategyLe-le Cao, Ramamohanarao Kotagiri, Fuchun Sun, Hongbo Li, Wen-bing Huang, Zay Maung Maung Aye. 3337-3345 [doi]
• Continual Planning in GologTill Hofmann, Tim Niemueller, Jens Claßen, Gerhard Lakemeyer. 3346-3353 [doi]
• Selectively Reactive Coordination for a Team of Robot Soccer ChampionsJuan Pablo Mendoza, Joydeep Biswas, Philip Cooksey, Richard Wang, Steven D. Klee, Danny Zhu, Manuela M. Veloso. 3354-3360 [doi]
• Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural NetworksPeter Ondruska, Ingmar Posner. 3361-3368 [doi]
• Component Caching in Hybrid Domains with Piecewise Polynomial DensitiesVaishak Belle, Guy Van den Broeck, Andrea Passerini. 3369-3375 [doi]
• The Meta-Problem for Conservative Mal'tsev ConstraintsClément Carbonnel. 3376-3382 [doi]
• Steiner Tree Problems with Side Constraints Using Constraint ProgrammingDiego de Uña, Graeme Gange, Peter Schachte, Peter J. Stuckey. 3383-3389 [doi]
• Alternative Filtering for the Weighted Circuit Constraint: Comparing Lower Bounds for the TSP and Solving TSPTWSylvain Ducomman, Hadrien Cambazard, Bernard Penz. 3390-3396 [doi]
• Using the Shapley Value to Analyze Algorithm PortfoliosAlexandre Fréchette, Lars Kotthoff, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown. 3397-3403 [doi]
• On the Extraction of One Maximal Information Subset That Does Not Conflict with Multiple ContextsÉric Grégoire, Yacine Izza, Jean-Marie Lagniez. 3404-3410 [doi]
• Bidirectional Search That Is Guaranteed to Meet in the MiddleRobert C. Holte, Ariel Felner, Guni Sharon, Nathan R. Sturtevant. 3411-3417 [doi]
• Breaking More Composition Symmetries Using Search HeuristicsJimmy H. M. Lee, Zichen Zhu. 3418-3425 [doi]
• Increasing Nogoods in Restart-Based SearchJimmy H. M. Lee, Christian Schulte, Zichen Zhu. 3426-3433 [doi]
• Transductive Zero-Shot Recognition via Shared Model Space LearningYuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang. 3434-3500 [doi]
• Exponential Recency Weighted Average Branching Heuristic for SAT SolversJia Hui Liang, Vijay Ganesh, Pascal Poupart, Krzysztof Czarnecki. 3434-3440 [doi]
• Counting-Based Search for Constraint Optimization ProblemsGilles Pesant. 3441-3448 [doi]
• Are Elephants Bigger than Butterflies? Reasoning about Sizes of ObjectsHessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi. 3449-3456 [doi]
• Deep Quantization Network for Efficient Image RetrievalYue Cao, Mingsheng Long, Jianmin Wang 0001, Han Zhu, Qingfu Wen. 3457-3463 [doi]
• Dynamic Concept Composition for Zero-Example Event DetectionXiaojun Chang, Yi Yang, Guodong Long, Chengqi Zhang, Alexander G. Hauptmann. 3464-3470 [doi]
• Face Video Retrieval via Deep Learning of Binary Hash RepresentationsZhen Dong, Su Jia, Tianfu Wu, Mingtao Pei. 3471-3477 [doi]
• Zero-Shot Event Detection by Multimodal Distributional Semantic Embedding of VideosMohamed Elhoseiny, Jingen Liu, Hui Cheng, Harpreet S. Sawhney, Ahmed M. Elgammal. 3478-3486 [doi]
• Concepts Not Alone: Exploring Pairwise Relationships for Zero-Shot Video Activity RecognitionChuang Gan, Ming Lin, Yi Yang, Gerard de Melo, Alexander G. Hauptmann. 3487 [doi]
• Reading Scene Text in Deep Convolutional SequencesPan He, Weilin Huang, Yu Qiao 0001, Chen Change Loy, Xiaoou Tang. 3501-3508 [doi]
• Structured Output Prediction for Semantic Perception in Autonomous VehiclesRein Houthooft, Cedric De Boom, Stijn Verstichel, Femke Ongenae, Filip De Turck. 3509-3515 [doi]
• Robust Complex Behaviour Modeling at 90HzXiangyu Kong, Yizhou Wang, Tao Xiang. 3516-3522 [doi]
• Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning ApproachAlina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal. 3523-3529 [doi]
• Labeling the Features Not the Samples: Efficient Video Classification with Minimal SupervisionMarius Leordeanu, Alexandra Radu, Shumeet Baluja, Rahul Sukthankar. 3530-3538 [doi]
• Decentralized Robust Subspace ClusteringBo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas. 3539-3545 [doi]
• Articulated Pose Estimation Using Hierarchical Exemplar-Based ModelsJiongxin Liu, Yinxiao Li, Peter K. Allen, Peter N. Belhumeur. 3546-3552 [doi]
• Multi-View 3D Human Tracking in Crowded ScenesXiaobai Liu. 3553-3559 [doi]
• Face Model Compression by Distilling Knowledge from NeuronsPing Luo, Zhenyao Zhu, Ziwei Liu, Xiaogang Wang, Xiaoou Tang. 3560-3566 [doi]
• Learning to Answer Questions from Image Using Convolutional Neural NetworkLin Ma, Zhengdong Lu, Hang Li. 3567-3573 [doi]
• SentiCap: Generating Image Descriptions with SentimentsAlexander Patrick Mathews, Lexing Xie, Xuming He. 3574-3580 [doi]
• Look, Listen and Learn - A Multimodal LSTM for Speaker IdentificationJimmy S. J. Ren, Yongtao Hu, Yu-Wing Tai, Chuan Wang, Li Xu, Wenxiu Sun, Qiong Yan. 3581-3587 [doi]
• Toward a Taxonomy and Computational Models of Abnormalities in ImagesBabak Saleh, Ahmed M. Elgammal, Jacob Feldman, Ali Farhadi. 3588-3596 [doi]
• Domain-Constraint Transfer Coding for Imbalanced Unsupervised Domain AdaptationYao-Hung Hubert Tsai, Cheng-An Hou, Wei-Yu Chen, Yi-Ren Yeh, Yu-Chiang Frank Wang. 3597-3603 [doi]
• Recognizing Actions in 3D Using Action-Snippets and Activated SimplicesChunyu Wang, John Flynn, Yizhou Wang, Alan L. Yuille. 3604-3610 [doi]
• DARI: Distance Metric and Representation Integration for Person VerificationGuangrun Wang, Liang Lin, Shengyong Ding, Ya Li, Qing Wang. 3611-3617 [doi]
• Video Semantic Clustering with Sparse and Incomplete TagsJingya Wang, Xiatian Zhu, Shaogang Gong. 3618-3624 [doi]
• Path Following with Adaptive Path Estimation for Graph MatchingTao Wang, Haibin Ling. 3625-3631 [doi]
• Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context FeaturesFangting Xia, Jun Zhu, Peng Wang, Alan L. Yuille. 3632-3640 [doi]
• Diversified Dynamical Gaussian Process Latent Variable Model for Video RepairHao Xiong, Tongliang Liu, Dacheng Tao. 3641-3647 [doi]
• Metric Embedded Discriminative Vocabulary Learning for High-Level Person RepresentationYang Yang, Zhen Lei, Shifeng Zhang, Hailin Shi, Stan Z. Li. 3648-3654 [doi]
• Large Scale Similarity Learning Using Similar Pairs for Person VerificationYang Yang, ShengCai Liao, Zhen Lei, Stan Z. Li. 3655-3661 [doi]
• Unsupervised Co-Activity Detection from Multiple Videos Using Absorbing Markov ChainDonghun Yeo, Bohyung Han, Joon Hee Han. 3662-3668 [doi]
• Discrete Image Hashing Using Large Weakly Annotated Photo CollectionsHanwang Zhang, Na Zhao, Xindi Shang, Huan-Bo Luan, Tat-Seng Chua. 3669-3675 [doi]
• Group Cost-Sensitive Boosting for Multi-Resolution Pedestrian DetectionChao Zhu, Yuxin Peng. 3676-3682 [doi]
• Learning Cross-Domain Neural Networks for Sketch-Based 3D Shape RetrievalFan Zhu, Jin Xie, Yi Fang. 3683-3689 [doi]
• MC-HOG Correlation Tracking with Saliency ProposalGuibo Zhu, Jinqiao Wang, Yi Wu 0001, Xiaoyu Zhang, Hanqing Lu. 3690-3696 [doi]
• Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM NetworksWentao Zhu, Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li, Li Shen, Xiaohui Xie. 3697-3704 [doi]
• Using Multiple Representations to Simultaneously Learn Computational Thinking and Middle School ScienceSatabdi Basu, Gautam Biswas, John S. Kinnebrew. 3705-3711 [doi]
• MIDCA: A Metacognitive, Integrated Dual-Cycle Architecture for Self-Regulated AutonomyMichael T. Cox, Zohreh Alavi, Dustin Dannenhauer, Vahid Eyorokon, Hector Muñoz-Avila, Don Perlis. 3712-3718 [doi]
• Commonsense Interpretation of Triangle BehaviorAndrew S. Gordon. 3719-3725 [doi]
• Surprise-Triggered Reformulation of Design GoalsKazjon Grace, Mary Lou Maher. 3726-3732 [doi]
• Visual Learning of Arithmetic OperationYedid Hoshen, Shmuel Peleg. 3733-3739 [doi]
• Modeling Human Ad Hoc CoordinationPeter M. Krafft, Chris L. Baker, Alex Pentland, Joshua B. Tenenbaum. 3740-3746 [doi]
• Predicting Readers' Sarcasm Understandability by Modeling Gaze BehaviorAbhijit Mishra, Diptesh Kanojia, Pushpak Bhattacharyya. 3747-3753 [doi]
• Modeling Human Understanding of Complex Intentional Action with a Bayesian Nonparametric Subgoal ModelRyo Nakahashi, Chris L. Baker, Joshua B. Tenenbaum. 3754-3760 [doi]
• Unsupervised Lexical Simplification for Non-Native SpeakersGustavo H. Paetzold, Lucia Specia. 3761-3767 [doi]
• RT: A System for Real-Time Holistic Quality Assurance for Contact Center DialoguesShourya Roy, Ragunathan Mariappan, Sandipan Dandapat, Saurabh Srivastava, Sainyam Galhotra, Balaji Peddamuthu. 3768-3775 [doi]
• Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network ModelsIulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C. Courville, Joelle Pineau. 3776-3784 [doi]
• Achieving Stable and Fair Profit Allocation with Minimum Subsidy in Collaborative LogisticsLucas Agussurja, Hoong Chuin Lau, Shih-Fen Cheng. 3785-3792 [doi]
• Understanding City Traffic Dynamics Utilizing Sensor and Textual ObservationsPramod Anantharam, Krishnaprasad Thirunarayan, Surendra Marupudi, Amit P. Sheth, Tanvi Banerjee. 3793-3799 [doi]
• An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart GridSambaran Bandyopadhyay, Ramasuri Narayanam, Pratyush Kumar, Sarvapali Ramchurn, Vijay Arya, Iskandarbin Petra. 3800-3806 [doi]
• Multi-Instance Multi-Label Class Discovery: A Computational Approach for Assessing Bird BiodiversityForrest Briggs, Xiaoli Z. Fern, Raviv Raich, Matthew Betts. 3807-3813 [doi]
• Multiagent-Based Route Guidance for Increasing the Chance of Arrival on TimeZhiguang Cao, Hongliang Guo, Jie Zhang, Ulrich Fastenrath. 3814-3820 [doi]
• Understanding Dominant Factors for Precipitation over the Great Lakes RegionSoumyadeep Chatterjee, Stefan Liess, Arindam Banerjee, Vipin Kumar. 3821-3827 [doi]
• A Unifying Variational Inference Framework for Hierarchical Graph-Coupled HMM with an Application to Influenza InfectionKai Fan, Chunyuan Li, Katherine A. Heller. 3828-3834 [doi]
• Topic Models to Infer Socio-Economic MapsLingzi Hong, Enrique Frías-Martínez, Vanessa Frías-Martínez. 3835-3841 [doi]
• Energy- and Cost-Efficient Pumping Station ControlTimon V. Kanters, Frans A. Oliehoek, Michael Kaisers, Stan R. van den Bosch, Joep Grispen, Jeroen Hermans. 3842-3848 [doi]
• Shortest Path Based Decision Making Using Probabilistic InferenceAkshat Kumar. 3849-3856 [doi]
• Robust Decision Making for Stochastic Network DesignAkshat Kumar, Arambam James Singh, Pradeep Varakantham, Daniel Sheldon. 3857-3863 [doi]
• Optimizing Infrastructure Enhancements for Evacuation PlanningKanal Kumar, Julia Romanski, Pascal Van Hentenryck. 3864-3870 [doi]
• Spatially Regularized Streaming Sensor SelectionChangsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang. 3871-3879 [doi]
• Preventing Illegal Logging: Simultaneous Optimization of Resource Teams and Tactics for SecuritySara Marie McCarthy, Milind Tambe, Christopher Kiekintveld, Meredith L. Gore, Alex Killion. 3880-3886 [doi]
• Big-Data Mechanisms and Energy-Policy DesignAnkit Pat, Kate Larson, Srinivasen Keshav. 3887-3893 [doi]
• Benders Decomposition for Large-Scale Prescriptive EvacuationsJulia Romanski, Pascal Van Hentenryck. 3894-3900 [doi]
• Predicting Spatio-Temporal Propagation of Seasonal Influenza Using Variational Gaussian Process RegressionRansalu Senanayake, Simon Timothy O'Callaghan, Fabio Ramos. 3901-3907 [doi]
• Intelligent Habitat Restoration Under UncertaintyTommaso Urli, Jana Brotánková, Philip Kilby, Pascal Van Hentenryck. 3908-3914 [doi]
• Adaptable Regression Method for Ensemble Consensus ForecastingJohn K. Williams, Peter P. Neilley, Joseph P. Koval, Jeff McDonald. 3915-3921 [doi]
• Optimizing Resilience in Large Scale NetworksXiaojJan Wu, Daniel Sheldon, Shlomo Zilberstein. 3922-3928 [doi]
• Transfer Learning from Deep Features for Remote Sensing and Poverty MappingMichael Xie, Neal Jean, Marshall Burke, David Lobell, Stefano Ermon. 3929-3935 [doi]
• An Algorithm to Coordinate Measurements Using Stochastic Human Mobility Patterns in Large-Scale Participatory Sensing SettingsAlexandros Zenonos, Sebastian Stein, Nicholas R. Jennings. 3936-3943 [doi]
• Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer's DiseasePeng Dai, Femida Gwadry-Sridhar, Michael Bauer, Michael Borrie. 3944-3950 [doi]
• Affective Personalization of a Social Robot Tutor for Children's Second Language SkillsGoren Gordon, Samuel Spaulding, Jacqueline Kory Westlund, Jin Joo Lee, Luke Plummer, Marayna Martinez, Madhurima Das, Cynthia Breazeal. 3951-3957 [doi]
• A Framework for Resolving Open-World Referential Expressions in Distributed Heterogeneous Knowledge BasesTom Williams, Matthias Scheutz. 3958-3965 [doi]
• Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife SecurityFei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe, Andrew Lemieux. 3966-3973 [doi]
• Ontology Re-Engineering: A Case Study from the Automotive IndustryNestor Rychtyckyj, Venkatesh Raman, Baskaran Sankaranarayanan, P. Sreenivasa Kumar, Deepak Khemani. 3974-3981 [doi]
• Deploying nEmesis: Preventing Foodborne Illness by Data Mining Social MediaAdam Sadilek, Henry A. Kautz, Lauren DiPrete, Brian Labus, Eric Portman, Jack Teitel, Vincent Silenzio. 3982-3990 [doi]
• An Autonomous Override System to Prevent Airborne Loss of ControlSweewarman Balachandran, Ella Atkins. 3991-3996 [doi]
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• Teaching Big Data Analytics Skills with Intelligent Workflow SystemsYolanda Gil. 3997-4088 [doi]
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• Automated Regression Testing Using Constraint ProgrammingArnaud Gotlieb, Mats Carlsson, Marius Liaaen, Dusica Marijan, Alexandre Petillon. 4010-4015 [doi]
• Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage BehaviorPejman Khadivi, Naren Ramakrishnan. 4016-4021 [doi]
• Optimizing Energy Costs in a Zinc and Lead MineAlan Kinsella, Alan F. Smeaton, Barry Hurley 0001, Barry O'Sullivan, Helmut Simonis. 4022-4027 [doi]
• Automated Capture and Execution of Manufacturability Rules Using Inductive Logic ProgrammingAbha Moitra, Ravi Palla, Arvind Rangarajan. 4028-4034 [doi]
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• A Hidden Markov Model Approach to Infer Timescales for High-Resolution Climate ArchivesMai Winstrup. 4053-4061 [doi]
• Infusing Human Factors into Algorithmic CrowdsourcingHan Yu, Chunyan Miao, Zhiqi Shen, Jun Lin, Cyril Leung, Qiang Yang 0001. 4062-4064 [doi]
• Using Domain Knowledge to Improve Monte-Carlo Tree Search Performance in Parameterized Poker SquaresRobert Arrington, Clay Langley, Steven Bogaerts. 4065-4070 [doi]
• BeeMo, a Monte Carlo Simulation Agent for Playing Parameterized Poker SquaresKaro Castro-Wunsch, William Maga, Calin Anton. 4071-4074 [doi]
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• Learning and Using Hand Abstraction Values for Parameterized Poker SquaresTodd W. Neller, Colin M. Messinger, Zuozhi Yang. 4095-4100 [doi]
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• The Turing Test in the ClassroomLisa Torrey, Karen Johnson, Sid Sondergard, Pedro Ponce, Laura Desmond. 4113-4118 [doi]
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• IRobot: Teaching the Basics of Artificial Intelligence in High SchoolsHarald Burgsteiner, Martin Kandlhofer, Gerald Steinbauer. 4126-4127 [doi]
• A.I. as an Introduction to Research Methods in Computer ScienceRaghuram Ramanujan. 4128-4129 [doi]
• An Online Logic Programming Development EnvironmentChristian Reotutar, Mbathio Diagne, Evgenii Balai, Edward Wertz, Peter Lee, Shao-Lon Yeh, Yuanlin Zhang. 4130-4131 [doi]
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• Teaching Automated Strategic Reasoning Using Capstone TournamentsOscar Veliz, Marcus Gutierrez, Christopher Kiekintveld. 4134-4135 [doi]
• Training Watson - A Cognitive Systems CourseMichael Wollowski. 4136-4138 [doi]
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• Indefinite Scalability for Living ComputationDavid H. Ackley. 4142-4146 [doi]
• Embedding Ethical Principles in Collective Decision Support SystemsJoshua Greene, Francesca Rossi, John Tasioulas, Kristen Brent Venable, Brian Williams. 4147-4151 [doi]
• Five Dimensions of Reasoning in the WildDon Perlis. 4152-4156 [doi]
• Ethical Dilemmas for Adaptive Persuasion SystemsOliviero Stock, Marco Guerini, Fabio Pianesi. 4157-4162 [doi]
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• Natural Language Processing for Enhancing Teaching and LearningDiane J. Litman. 4170-4176 [doi]
• Strategic Behaviour When Allocating Indivisible GoodsToby Walsh. 4177-4183 [doi]
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• Weighted A* Algorithms for Unsupervised Feature Selection with Provable Bounds on SuboptimalityHiromasa Arai, Ke Xu, Crystal Maung, Haim Schweitzer. 4194-4195 [doi]
• Abstraction Using Analysis of SubgamesAnjon Basak. 4196-4197 [doi]
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• BRBA: A Blocking-Based Association Rule Hiding MethodPeng Cheng, Ivan Lee, Li Li, Kuo-Kun Tseng, Jeng-Shyang Pan. 4200-4201 [doi]
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• Predicting Prices in the Power TAC Wholesale Energy MarketMoinul Morshed Porag Chowdhury. 4204-4205 [doi]
• Robust Execution Strategies for Probabilistic Temporal PlanningSam Dietrich, Kyle Lund, James C. Boerkoel. 4206-4207 [doi]
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• Structure Aware L1 Graph for Data ClusteringShuchu Han, Hong Qin. 4214-4215 [doi]
• Multivariate Conditional Outlier Detection and Its Clinical ApplicationCharmgil Hong, Milos Hauskrecht. 4216-4217 [doi]
• Learning Complex Stand-Up Motion for Humanoid RobotsHeejin Jeong, Daniel D. Lee. 4218-4219 [doi]
• Connecting the Dots Using Contextual Information Hidden in Text and ImagesMd. Abdul Kader, Sheikh Motahar Naim, Arnold P. Boedihardjo, M. Shahriar Hossain. 4220-4221 [doi]
• Monte Carlo Tree Search for Multi-Robot Task AllocationBilal Kartal, Ernesto Nunes, Julio Godoy, Maria L. Gini. 4222-4223 [doi]
• Hierarchy Prediction in Online CommunitiesDenys Katerenchuk, Andrew Rosenberg. 4224-4225 [doi]
• Handling Class Imbalance in Link Prediction Using Learning to Rank TechniquesBopeng Li, Sougata Chaudhuri, Ambuj Tewari. 4226-4227 [doi]
• Predicting Links and Their Building Time: A Path-Based ApproachManling Li, Yantao Jia, Yuanzhuo Wang, Zeya Zhao, Xueqi Cheng. 4228-4229 [doi]
• Social Emotion Classification via Reader Perspective Weighted ModelXin Li, Yanghui Rao, Yanjia Chen, Xuebo Liu, Huan Huang. 4230-4231 [doi]
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