Artificial Intelligence

GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression JMLR 2012 Graphical Gaussian Vector for Image Categorization NeurIPS 2012 Guaranteeing High-Level Behaviors while Exploring Partially Known Maps RSS 2012 Hamming Distance Metric Learning NeurIPS 2012 Hierarchical Motion Planning in Topological Representations RSS 2012 Hierarchical Optimistic Region Selection driven by Curiosity NeurIPS 2012 Hierarchical spike coding of sound NeurIPS 2012 Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints NeurIPS 2012 How Prior Probability Influences Decision Making: A Unifying Probabilistic Model NeurIPS 2012 How They Vote: Issue-Adjusted Models of Legislative Behavior NeurIPS 2012 Human memory search as a random walk in a semantic network NeurIPS 2012 Hybrid Operational Space Control for Compliant Legged Systems RSS 2012 Imitation Learning by Coaching NeurIPS 2012 Inference on networks of mixtures for robust robot mapping RSS 2012 Informative Priors for Markov Blanket Discovery AISTATS 2012 Integrating a Partial Model into Model Free Reinforcement Learning JMLR 2012 Interpreting prediction markets: a stochastic approach NeurIPS 2012 Inverse Reinforcement Learning through Structured Classification NeurIPS 2012 Iterative ranking from pair-wise comparisons NeurIPS 2012 Joint Modeling of a Matrix with Associated Text via Latent Binary Features NeurIPS 2012 Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences JMLR 2012 Kernel Topic Models AISTATS 2012 Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs NeurIPS 2012 Learned Prioritization for Trading Off Accuracy and Speed NeurIPS 2012 Learning about Canonical Views from Internet Image Collections NeurIPS 2012