Artificial Intelligence

Bayesian variable order Markov models AISTATS 2010 Belief space planning assuming maximum likelihood observations RSS 2010 Beyond Actions: Discriminative Models for Contextual Group Activities NeurIPS 2010 Biophysically inspired development of a sand-swimming robot RSS 2010 Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference NeurIPS 2010 Bootstrapping Apprenticeship Learning NeurIPS 2010 Brain covariance selection: better individual functional connectivity models using population prior NeurIPS 2010 Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations NeurIPS 2010 Causal discovery in multiple models from different experiments NeurIPS 2010 Classification with Incomplete Data Using Dirichlet Process Priors JMLR 2010 Closing the Learning-Planning Loop with Predictive State Representations RSS 2010 Coherent Inference on Optimal Play in Game Trees AISTATS 2010 Combining Experiments to Discover Linear Cyclic Models with Latent Variables AISTATS 2010 Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning NeurIPS 2010 Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories NeurIPS 2010 Construction of Dependent Dirichlet Processes based on Poisson Processes NeurIPS 2010 Contextual Multi-Armed Bandits AISTATS 2010 Continuous Time Bayesian Network Reasoning and Learning Engine JMLR 2010 Copula Bayesian Networks NeurIPS 2010 Copula Processes NeurIPS 2010 Co-regularization Based Semi-supervised Domain Adaptation NeurIPS 2010 Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings NeurIPS 2010 Decoding Ipsilateral Finger Movements from ECoG Signals in Humans NeurIPS 2010 Dense Message Passing for Sparse Principal Component Analysis AISTATS 2010 Deterministic Single-Pass Algorithm for LDA NeurIPS 2010