probabilistic model

Learning Transformational Invariants from Natural Movies NeurIPS 2008 Mixed Membership Stochastic Blockmodels JMLR 2008 Sparse probabilistic projections NeurIPS 2008 Structured ranking learning using cumulative distribution networks NeurIPS 2008 The Recurrent Temporal Restricted Boltzmann Machine NeurIPS 2008 A Bayesian Model of Conditioned Perception NeurIPS 2007 Agreement-Based Learning NeurIPS 2007 A Probabilistic Approach to Language Change NeurIPS 2007 A probabilistic model for generating realistic lip movements from speech NeurIPS 2007 Heterogeneous Component Analysis NeurIPS 2007 Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes NeurIPS 2007 Integrating Naïve Bayes and FOIL JMLR 2007 Markov Chain Monte Carlo with People NeurIPS 2007 Mining Internet-Scale Software Repositories NeurIPS 2007 Object Recognition by Scene Alignment NeurIPS 2007 Optimal models of sound localization by barn owls NeurIPS 2007 Predictive Matrix-Variate t Models NeurIPS 2007 Probabilistic Matrix Factorization NeurIPS 2007 The Infinite Gamma-Poisson Feature Model NeurIPS 2007 A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NeurIPS 2006 An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments NeurIPS 2006 Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NeurIPS 2006 Context Effects in Category Learning: An Investigation of Four Probabilistic Models NeurIPS 2006 Dirichlet-Enhanced Spam Filtering based on Biased Samples NeurIPS 2006 Improving Robot Navigation Through Self-Supervised Online Learning RSS 2006