bayesian inference

Optimal Change-Detection and Spiking Neurons NeurIPS 2006 Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis JMLR 2006 Parameter Expanded Variational Bayesian Methods NeurIPS 2006 Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation NeurIPS 2006 Theory and Dynamics of Perceptual Bistability NeurIPS 2006 TrueSkill™: A Bayesian Skill Rating System NeurIPS 2006 Assessing Approximate Inference for Binary Gaussian Process Classification JMLR 2005 Lossless Online Bayesian Bagging JMLR 2004 An Approximate Analytical Approach to Resampling Averages JMLR 2003 Latent Dirichlet Allocation JMLR 2003 Optimality of Universal Bayesian Sequence Prediction for General Loss and Alphabet JMLR 2003 Task Clustering and Gating for Bayesian Multitask Learning JMLR 2003 Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components JMLR 2002 Bayes Point Machines JMLR 2001 Sparse Bayesian Learning and the Relevance Vector Machine JMLR 2001 Learning with Mixtures of Trees JMLR 2000