Bayesian & Probabilistic

Using Bayesian Dynamical Systems for Motion Template Libraries NeurIPS 2008 Variational Mixture of Gaussian Process Experts NeurIPS 2008 A Bayesian Framework for Cross-Situational Word-Learning NeurIPS 2007 A Bayesian LDA-based model for semi-supervised part-of-speech tagging NeurIPS 2007 A Bayesian Model of Conditioned Perception NeurIPS 2007 Active Policy Learning for Robot Planning and Exploration under Uncertainty RSS 2007 Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NeurIPS 2007 Agreement-Based Learning NeurIPS 2007 A New View of Automatic Relevance Determination NeurIPS 2007 A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians JMLR 2007 A Probabilistic Approach to Language Change NeurIPS 2007 A probabilistic model for generating realistic lip movements from speech NeurIPS 2007 Augmented Functional Time Series Representation and Forecasting with Gaussian Processes NeurIPS 2007 Bayes-Adaptive POMDPs NeurIPS 2007 Bayesian Agglomerative Clustering with Coalescents NeurIPS 2007 Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NeurIPS 2007 Bayesian Co-Training NeurIPS 2007 Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NeurIPS 2007 Bayesian Policy Learning with Trans-Dimensional MCMC NeurIPS 2007 Bundle Methods for Machine Learning NeurIPS 2007 Catching Up Faster in Bayesian Model Selection and Model Averaging NeurIPS 2007 Characterizing the Function Space for Bayesian Kernel Models JMLR 2007 Collapsed Variational Inference for HDP NeurIPS 2007 Collective Inference on Markov Models for Modeling Bird Migration NeurIPS 2007 Comparing Bayesian models for multisensory cue combination without mandatory integration NeurIPS 2007