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27th AAAI: Late-Breaking Developments 2013: Bellevue, WA, USA
- Late-Breaking Developments in the Field of Artificial Intelligence, Bellevue, Washington, USA, July 14-18, 2013. AAAI Technical Report WS-13-17, AAAI 2013
- Noga Alon, Reshef Meir, Moshe Tennenholtz:
The Value of Ignorance about the Number of Players. - Amos Azaria, Avinatan Hassidim, Sarit Kraus, Adi Eshkol, Ofer Weintraub, Irit Netanely:
Movie Recommender System for Profit Maximization (Short LBP). - Zahy Bnaya, Rami Puzis, Roni Stern, Ariel Felner:
Volatile Multi-Armed Bandits for Guaranteed Targeted Social Crawling. - Marco Bozzano, Alessandro Cimatti, Marco Gario, Stefano Tonetta:
A Formal Framework for the Specification, Verification and Synthesis of Diagnosers. - Daniel Bryce, Renée C. Bryce:
Covering Landmark Interactions for Semantically Diverse Plans. - John Paul Dickerson, Tuomas Sandholm:
Throwing Darts: Random Sampling Helps Tree Search when the Number of Short Certificates is Moderate. - Tommaso Di Noia, Thomas Lukasiewicz:
Combining CP-Nets with the Power of Ontologies. - Seyda Ertekin, Cynthia Rudin, Tyler H. McCormick:
Predicting Power Failures with Reactive Point Processes. - Dehong Gao, Furu Wei, Wenjie Li, Xiaohua Liu, Ming Zhou:
Co-Training Based Bilingual Sentiment Lexicon Learning. - Nicola Gatti, Marco Rocco, Tuomas Sandholm:
Strong Nash Equilibrium Is in Smoothed P. - Nathaniel Gemelli, Jeffrey Hudack, Jae C. Oh:
Virtual Structure Reduction for Distributed Constraint Problem Solving. - Mahsa Ghafarianzadeh, Claire Monteleoni:
Climate Prediction via Matrix Completion. - Joshua T. Guerin, Thomas E. Allen, Judy Goldsmith:
Learning CP-Net Preferences Online from User Queries. - Yahong Han, Jianguang Zhang, Zhongwen Xu, Shoou-I Yu:
Discriminative Multi-Task Feature Selection. - Milos Hauskrecht, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont:
Conditional Outlier Approach for Detection of Unusual Patient Care Actions. - Shanshan Huang, Xiaojun Wan, Xuewei Tang:
AMRec: An Intelligent System for Academic Method Recommendation. - Litan Ilany, Ya'akov Gal:
Algorithm Selection in Bilateral Negotiation. - Marika Ivanová, Pavel Surynek:
Adversarial Cooperative Path-Finding: A First View. - David M. Johnson, Caiming Xiong, Jing Gao, Jason J. Corso:
Comprehensive Cross-Hierarchy Cluster Agreement Evaluation. - Been Kim, Cynthia Rudin:
Machine Learning for Meeting Analysis. - Iolanda Leite, Hannaneh Hajishirzi, Sean Andrist, Jill Fain Lehman:
Take or Wait? Learning Turn-Taking from Multiparty Data. - Benjamin Letham, Cynthia Rudin, Tyler H. McCormick, David Madigan:
An Interpretable Stroke Prediction Model using Rules and Bayesian Analysis. - Yuliya Lierler, Miroslaw Truszczynski:
Modular Answer Set Solving. - Xianming Liu, Yue Gao, Rongrong Ji, Shiyu Chang, Thomas S. Huang:
Localizing Web Videos from Heterogeneous Images. - Qiang Lu, Wenlin Chen, Yixin Chen, Kilian Q. Weinberger, Xiaoping Chen:
Utilizing Landmarks in Euclidean Heuristics for Optimal Planning. - Vukosi Marivate, Michael L. Littman:
An Ensemble of Linearly Combined Reinforcement-Learning Agents. - Christian Meilicke, Jan Noessner, Heiner Stuckenschmidt:
Towards Joint Inference for Complex Ontology Matching. - Soja-Marie Callahan Morgens, Arnav Jhala:
Synthetic Photographs for Learning Aesthetic Preferences. - Claudiu Cristian Musat, Boi Faltings:
A Novel Human Computation Game for Critique Aggregation. - Stellan Ohlsson, Robert H. Sloan, György Turán, Aaron Urasky:
Verbal IQ of a Four-Year Old Achieved by an AI System. - Patrice Perny, Paul Weng, Judy Goldsmith, Josiah Hanna:
Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes. - Yamuna Prasad, K. K. Biswas, Parag Singla:
Scaling-Up Quadratic Programming Feature Selection. - Razvan Ranca:
A Modular Framework for the Automatic Reconstruction of Shredded Documents. - Srijith Ravikumar, Kartik Talamadupula, Raju Balakrishnan, Subbarao Kambhampati:
RAProp: Ranking Tweets by Exploiting the Tweet/User/Web Ecosystem and Inter-Tweet Agreement. - Amirmohammad Rooshenas, Daniel Lowd:
Learning Tractable Graphical Models Using Mixture of Arithmetic Circuits. - Ashish Sabharwal, Horst Samulowitz, Tom Schrijvers, Peter J. Stuckey, Guido Tack:
Automated Design of Search with Composability. - José San Pedro, Alexandros Karatzoglou:
Multiple Outcome Supervised Latent Dirichlet Allocation for Expert Discovery in Online Forums. - Pedro Henrique de Rodrigues Quemel e Assis Santana, Brian Charles Williams:
Chance-Constrained Strong Controllability of Temporal Plan Networks with Uncertainty. - Oliver Schulte, Fatemeh Riahi, Qing Li:
Identifying Important Nodes in Heterogenous Networks. - Jendrik Seipp, Malte Helmert:
Additive Counterexample-Guided Cartesian Abstraction Refinement. - Ming Shao, Liangyue Li, Yun Fu:
Predicting Professions through Probabilistic Model under Social Context. - Guni Sharon, Ariel Felner, Roni Stern, Nathan R. Sturtevant:
Partial Domain Search Tree For Constraint-Satisfaction Problems. - Berk Ustun, Stefano Tracà, Cynthia Rudin:
Supersparse Linear Integer Models for Predictive Scoring Systems. - Qishen Wang, Ou Wu, Ying Chen, Weiming Hu:
Label Ranking by Directly Optimizing Performance Measures. - Senzhang Wang, Xiaojian Zhao, Yan Chen, Zhoujun Li, Kai Zhang, Jiali Xia:
Negative Influence Minimizing by Blocking Nodes in Social Networks. - Sheng Wang, Fangtao Li, Ming Zhang:
Supervised Topic Model with Consideration of User and Item. - Tong Wang, Cynthia Rudin, Daniel Wagner, Rich Sevieri:
Detecting Patterns of Crime with Series Finder. - Jeremy C. Weiss, Sriraam Natarajan, C. David Page Jr.:
Learning When to Reject an Importance Sample. - David H. Wolpert, Dev G. Rajnarayan:
Using Machine Learning to Improve Stochastic Optimization. - Caiming Xiong, David M. Johnson, Jason J. Corso:
Uncertainty Reduction for Active Image Clustering via a Hybrid Global-Local Uncertainty Model. - Logan Michael Yliniemi, Kagan Tumer:
Elo Ratings for Structural Credit Assignment in Multiagent Systems. - Jingjin Yu, Steven M. LaValle:
Fast, Near-Optimal Computation for Multi-Robot Path Planning on Graphs.
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