aaai 2013 论文列表Late-Breaking Developments in the Field of Artificial Intelligence, Bellevue, Washington, USA, July 14-18, 2013. |
Fast, Near-Optimal Computation for Multi-Robot Path Planning on Graphs.
Elo Ratings for Structural Credit Assignment in Multiagent Systems.
Uncertainty Reduction for Active Image Clustering via a Hybrid Global-Local Uncertainty Model.
Using Machine Learning to Improve Stochastic Optimization.
Learning When to Reject an Importance Sample.
Detecting Patterns of Crime with Series Finder.
Supervised Topic Model with Consideration of User and Item.
Negative Influence Minimizing by Blocking Nodes in Social Networks.
Label Ranking by Directly Optimizing Performance Measures.
Supersparse Linear Integer Models for Predictive Scoring Systems.
Partial Domain Search Tree For Constraint-Satisfaction Problems.
Predicting Professions through Probabilistic Model under Social Context.
Additive Counterexample-Guided Cartesian Abstraction Refinement.
Identifying Important Nodes in Heterogenous Networks.
Chance-Constrained Strong Controllability of Temporal Plan Networks with Uncertainty.
Multiple Outcome Supervised Latent Dirichlet Allocation for Expert Discovery in Online Forums.
Automated Design of Search with Composability.
Learning Tractable Graphical Models Using Mixture of Arithmetic Circuits.
RAProp: Ranking Tweets by Exploiting the Tweet/User/Web Ecosystem and Inter-Tweet Agreement.
A Modular Framework for the Automatic Reconstruction of Shredded Documents.
Scaling-Up Quadratic Programming Feature Selection.
Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes.
Verbal IQ of a Four-Year Old Achieved by an AI System.
A Novel Human Computation Game for Critique Aggregation.
Synthetic Photographs for Learning Aesthetic Preferences.
Towards Joint Inference for Complex Ontology Matching.
An Ensemble of Linearly Combined Reinforcement-Learning Agents.
Utilizing Landmarks in Euclidean Heuristics for Optimal Planning.
Localizing Web Videos from Heterogeneous Images.
Modular Answer Set Solving.
An Interpretable Stroke Prediction Model using Rules and Bayesian Analysis.
Take or Wait? Learning Turn-Taking from Multiparty Data.
Machine Learning for Meeting Analysis.
Comprehensive Cross-Hierarchy Cluster Agreement Evaluation.
Adversarial Cooperative Path-Finding: A First View.
Algorithm Selection in Bilateral Negotiation.
AMRec: An Intelligent System for Academic Method Recommendation.
Conditional Outlier Approach for Detection of Unusual Patient Care Actions.
Discriminative Multi-Task Feature Selection.
Learning CP-Net Preferences Online from User Queries.
Climate Prediction via Matrix Completion.
Virtual Structure Reduction for Distributed Constraint Problem Solving.
Strong Nash Equilibrium Is in Smoothed P.
Co-Training Based Bilingual Sentiment Lexicon Learning.
Predicting Power Failures with Reactive Point Processes.
Combining CP-Nets with the Power of Ontologies.
Throwing Darts: Random Sampling Helps Tree Search when the Number of Short Certificates is Moderate.
Covering Landmark Interactions for Semantically Diverse Plans.
A Formal Framework for the Specification, Verification and Synthesis of Diagnosers.
Volatile Multi-Armed Bandits for Guaranteed Targeted Social Crawling.
Movie Recommender System for Profit Maximization (Short LBP).
The Value of Ignorance about the Number of Players.