probabilistic modeling

Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NeurIPS 2006 Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation JMLR 2006 Combining causal and similarity-based reasoning NeurIPS 2006 Context Effects in Category Learning: An Investigation of Four Probabilistic Models NeurIPS 2006 Game Theoretic Algorithms for Protein-DNA binding NeurIPS 2006 Learning to be Bayesian without Supervision NeurIPS 2006 Modeling Dyadic Data with Binary Latent Factors NeurIPS 2006 Multi-dynamic Bayesian Networks NeurIPS 2006 Non-rigid point set registration: Coherent Point Drift NeurIPS 2006 Some Discriminant-Based PAC Algorithms JMLR 2006 Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks NeurIPS 2006 The Identity Management Kalman Filter (IMKF) RSS 2006 TrueSkill™: A Bayesian Skill Rating System NeurIPS 2006 Estimation of Non-Normalized Statistical Models by Score Matching JMLR 2005 Expectation Consistent Approximate Inference JMLR 2005 Learning Module Networks JMLR 2005 A Unified Framework for Model-based Clustering JMLR 2003 Beyond Independent Components: Trees and Clusters JMLR 2003 Combining Knowledge from Different Sources in Causal Probabilistic Models JMLR 2003 Optimality of Universal Bayesian Sequence Prediction for General Loss and Alphabet JMLR 2003 Bayes Point Machines JMLR 2001