dirichlet process

Hierarchical Learning of Dimensional Biases in Human Categorization NeurIPS 2009 Multi-task Reinforcement Learning in Partially Observable Stochastic Environments JMLR 2009 Nonlinear Models Using Dirichlet Process Mixtures JMLR 2009 Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NeurIPS 2009 Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution NeurIPS 2009 Spatial Normalized Gamma Processes NeurIPS 2009 Dependent Dirichlet Process Spike Sorting NeurIPS 2008 Characterizing the Function Space for Bayesian Kernel Models JMLR 2007 Multi-Task Learning for Classification with Dirichlet Process Priors JMLR 2007 Accelerated Variational Dirichlet Process Mixtures NeurIPS 2006 A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments NeurIPS 2006 Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space NeurIPS 2006 Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models NeurIPS 2006 A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior JMLR 2005