Late-Breaking Developments in the Field of Artificial Intelligence
Papers Presented at the Twenty-Seventh AAAI Conference on Artificial Intelligence
Marie desJardins, Michael L. Littman, Organizers
AAAI Technical Report WS-13-17
published by The AAAI Press, Palo Alto, California
This technical report is also available in book format.
Contents
The Value of Ignorance about the Number of Players
Noga Alon, Reshef Meir, Moshe Tennenholtz
Movie Recommender System for Profit Maximization (Short LBP)
Amos Azaria, Avinatan Hassidim, Sarit Kraus, Adi Eshkol, Ofer Weintraub, Irit Netanely
Volatile Multi-Armed Bandits for Guaranteed Targeted Social Crawling
Zahy Bnaya, Rami Puzis, Roni Stern, Ariel Felner
A Formal Framework for the Specification, Verification and Synthesis of Diagnosers
Marco Bozzano, Alessandro Cimatti, Marco Gario, Stefano Tonetta
Covering Landmark Interactions for Semantically Diverse Plans
Daniel Bryce, Renee Bryce
Throwing Darts: Random Sampling Helps Tree Search when the Number of Short Certificates is Moderate
John Paul Dickerson, Tuomas Sandholm
Combining CP-Nets with the Power of Ontologies
Tommaso Di Noia, Thomas Lukasiewicz
Predicting Power Failures with Reactive Point Processes
Seyda Ertekin, Cynthia Rudin, Tyler H. McCormick
Co-Training Based Bilingual Sentiment Lexicon Learning
Dehong Gao, Furu Wei, Wenjie Li, Xiaohua Liu, Ming Zhou
Strong Nash Equilibrium Is in Smoothed P
Nicola Gatti, Marco Rocco, Tuomas Sandholm
Virtual Structure Reduction for Distributed Constraint Problem Solving
Nathaniel Gemelli, Jeffrey Hudack, Jae C Oh
Climate Prediction via Matrix Completion
Mahsa Ghafarianzadeh, Claire Monteleoni
Learning CP-Net Preferences Online from User Queries
Joshua T. Guerin, Thomas E. Allen, Judy Goldsmith
Discriminative Multi-Task Feature Selection
Yahong Han, Jianguang Zhang, Zhongwen Xu, Shoou-I Yu
Conditional Outlier Approach for Detection of Unusual Patient Care Actions
Milos Hauskrecht, Shyam Visweswaran, Gregory Cooper, Gilles Clermont
AMRec: An Intelligent System for Academic Method Recommendation
Shanshan Huang, Xiaojun Wan, Xuewei Tang
Algorithm Selection in Bilateral Negotiation
Litan Ilany, Yakov Gal
Adversarial Cooperative Path-Finding: A First View
Marika Ivanová, Pavel Surynek
Comprehensive Cross-Hierarchy Cluster Agreement Evaluation
David M. Johnson, Caiming Xiong, Jing Gao, Jason J. Corso
Machine Learning for Meeting Analysis
Been Kim, Cynthia Rudin
Take or Wait? Learning Turn-Taking from Multiparty Data
Iolanda Leite, Hannaneh Hajishirzi, Sean Andrist, Jill F. Lehman
An Interpretable Stroke Prediction Model using Rules and Bayesian Analysis
Benjamin Letham, Cynthia Rudin, Tyler H. McCormick, David Madigan
Modular Answer Set Solving
Yuliya Lierler, Miroslaw Truszczynski
Localizing Web Videos from Heterogeneous Images
Xian-Ming Liu, Yue Gao, Rongrong Ji, Shiyu Chang, Thomas Huang
Utilizing Landmarks in Euclidean Heuristics for Optimal Planning
Qiang Lu, Wenlin Chen, Yixin Chen, Kilian Q. Weinberger, Xiaoping Chen
An Ensemble of Linearly Combined Reinforcement-Learning Agents
Vukosi Ntsakisi Marivate, Michael Littman
Towards Joint Inference for Complex Ontology Matching
Christian Meilicke, Jan Noessner, Heiner Stuckenschmidt
Synthetic Photographs for Learning Aesthetic Preferences
Soja-Marie Callahan Morgens, Arnav Jhala
A Novel Human Computation Game for Critique Aggregation
Claudiu Cristian Musat, Boi Faltings
Verbal IQ of a Four-Year Old Achieved by an AI System
Stellan Ohlsson, Robert H Sloan, György Turán, Aaron Urasky
Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes
Patrice Perny, Paul Weng, Judy Goldsmith, Josiah P. Hanna
Scaling-Up Quadratic Programming Feature Selection
Yamuna Prasad, K. K. Biswas, Parag Singla
A Modular Framework for the Automatic Reconstruction of Shredded Documents
Razvan Ranca
RAProp: Ranking Tweets by Exploiting the Tweet/User/Web Ecosystem and Inter-Tweet Agreement
Srijith Ravikumar, Karthik Talamadupula, Raju Balakrishnan, Subbarao Kambhampati
Learning Tractable Graphical Models Using Mixture of Arithmetic Circuits
Amirmohammad Rooshenas, Daniel Lowd
Automated Design of Search with Composability
Ashish Sabharwal, Horst Samulowitz, Tom Schrijvers, Peter Stuckey, Guido Tack
Multiple Outcome Supervised Latent Dirichlet Allocation for Expert Discovery in Online Forums
Jose San Pedro, Alexandros Karatzoglou
Chance-Constrained Strong Controllability of Temporal Plan Networks with Uncertainty
Pedro Henrique Rodrigues Quemel e Assis Santana, Brian Charles Williams
Identifying Important Nodes in Heterogenous Networks
Oliver Schulte, Fatemeh Riahi, Qing Li
Additive Counterexample-Guided Cartesian Abstraction Refinement
Jendrik Seipp, Malte Helmert
Predicting Professions through Probabilistic Model under Social Context
Ming Shao, Liangyue Li, Yun Fu
Partial Domain Search Tree For Constraint-Satisfaction Problems
Guni Sharon, Ariel Felner, Roni Stern, Nathan Sturtevant
Supersparse Linear Integer Models for Predictive Scoring Systems
Berk Ustun, Stefano Traca, Cynthia Rudin
Label Ranking by Directly Optimizing Performance Measures
Qishen Wang, Ou Wu, Ying Chen, Weiming Hu
Negative Influence Minimizing by Blocking Nodes in Social Networks
Senzhang Wang, Xiaojian Zhao, Yan Chen, Zhoujun Li, Kai Zhang, Jiali Xia
Supervised Topic Model with Consideration of User and Item
Sheng Wang, Fangtao Li, Ming Zhang
Detecting Patterns of Crime with Series Finder
Tong Wang, Cynthia Rudin, Daniel Wagner, Rich Sevieri
Learning When to Reject an Importance Sample
Jeremy C. Weiss, Sriraam Natarajan, C. David Page
Using Machine Learning to Improve Stochastic Optimization
David Wolpert, Dev Rajnarayan
Uncertainty Reduction for Active Image Clustering via a Hybrid Global-Local Uncertainty Model
Caiming Xiong, David M. Johnson, Jason J. Corso
Elo Ratings for Structural Credit Assignment in Multiagent Systems
Logan Michael Yliniemi, Kagan Tumer
Fast, Near-Optimal Computation for Multi-Robot Path Planning on Graphs
Jingjin Yu, Steven M. LaValle
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