mixture model

Perturbation Corrections in Approximate Inference: Mixture Modelling Applications JMLR 2009 A mixture model for the evolution of gene expression in non-homogeneous datasets NeurIPS 2008 Characterizing response behavior in multisensory perception with conflicting cues NeurIPS 2008 Gas Distribution Modeling using Sparse Gaussian Process Mixture Models RSS 2008 Gates NeurIPS 2008 Implicit Mixtures of Restricted Boltzmann Machines NeurIPS 2008 Variational Mixture of Gaussian Process Experts NeurIPS 2008 A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians JMLR 2007 Convex Clustering with Exemplar-Based Models NeurIPS 2007 Density Estimation under Independent Similarly Distributed Sampling Assumptions NeurIPS 2007 Learning with Tree-Averaged Densities and Distributions NeurIPS 2007 Robust Regression with Twinned Gaussian Processes NeurIPS 2007 The Value of Labeled and Unlabeled Examples when the Model is Imperfect NeurIPS 2007 Accelerated Variational Dirichlet Process Mixtures NeurIPS 2006 Clustering Under Prior Knowledge with Application to Image Segmentation NeurIPS 2006 Hierarchical Dirichlet Processes with Random Effects NeurIPS 2006 Simplifying Mixture Models through Function Approximation NeurIPS 2006 Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds NeurIPS 2006 Towards a general independent subspace analysis NeurIPS 2006 Clustering on the Unit Hypersphere using von Mises-Fisher Distributions JMLR 2005 Learning with Mixtures of Trees JMLR 2000