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em algorithm

71 papers

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Also known as

EM

Co-occurring keywords

expectation maximization (254) mixture model (262) bayesian inference (1904) variational inference (2069) probabilistic model (476) graphical model (863) latent variable model (564) probabilistic modeling (851) hidden markov model (301) parameter estimation (274)

Papers

Tracking-Based Semi-Supervised Learning RSS 2011
A concave regularization technique for sparse mixture models NIPS 2011
Fast Large-scale Mixture Modeling with Component-specific Data Partitions NIPS 2010
Probabilistic Multi-Task Feature Selection NIPS 2010
An Approximate Inference Approach to Temporal Optimization in Optimal Control NIPS 2010
Variational bounds for mixed-data factor analysis NIPS 2010
Learning a Small Mixture of Trees NIPS 2009
Policy Search for Motor Primitives in Robotics NIPS 2008
Learning with Tree-Averaged Densities and Distributions NIPS 2007
Agreement-Based Learning NIPS 2007
Penalized Model-Based Clustering with Application to Variable Selection JMLR 2007
An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments NIPS 2006
Part-based Probabilistic Point Matching using Equivalence Constraints NIPS 2006
Clustering Under Prior Knowledge with Application to Image Segmentation NIPS 2006
Parameter Expanded Variational Bayesian Methods NIPS 2006
Non-rigid point set registration: Coherent Point Drift NIPS 2006
Clustering with Bregman Divergences JMLR 2005
Learning Hidden Variable Networks: The Information Bottleneck Approach JMLR 2005
Convergence Theorems for Generalized Alternating Minimization Procedures JMLR 2005
Denoising Source Separation JMLR 2005
The em Algorithm for Kernel Matrix Completion with Auxiliary Data JMLR 2003