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Variational Bayesian methods
Results: 181

#	Item
41	Infinite State Bayesian Networks Max Welling∗, Ian Porteous, Evgeniy Bart† Donald Bren School of Information and Computer Sciences University of California Irvine Irvine, CAUSA {welling,iporteou}@ics.uci. Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-01-10 04:29:00 Statistical natural language processing Markov models Graphical models Variational Bayesian methods Dirichlet process Gibbs sampling Bayesian network Latent Dirichlet allocation Mixture model Statistics Bayesian statistics Statistical models
42	Bayesian K-Means as a “Maximization-Expectation” Algorithm October 18, 2007 Abstract Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2007-10-18 14:00:50 Statistical theory Expectation–maximization algorithm Missing data Statistical models Maximum likelihood Fisher information Variational Bayesian methods Marginal likelihood Mixture model Statistics Estimation theory Bayesian statistics
43	Bayesian Hierarchical Clustering Katherine A. Heller Zoubin Ghahramani Gatsby Computational Neuroscience Unit, University College London 17 Queen Square, London, WC1N 3AR, UK Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2007-01-29 12:58:00 Cluster analysis Bioinformatics Data mining Hierarchical clustering Single-linkage clustering Conjugate prior Mixture model Dirichlet process Variational Bayesian methods Statistics Machine learning Bayesian statistics
44	Model Selection in Compositional Spaces by Roger Baker Grosse B.S., Stanford UniversityM.S., Stanford University (2008) Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-06-03 15:15:50 Bayesian statistics Statistical models Generative model Bayes factor Variational Bayesian methods Variational message passing Marginal likelihood Supervised learning Gibbs sampling Statistics Machine learning Probability and statistics
45	The International Journal of Robotics Research http://ijr.sagepub.com FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance Mark Cummins and Paul Newman Add to Reading List Source URL: www.robots.ox.ac.uk Language: English - Date: 2008-06-05 17:09:37 Stochastic processes Cluster analysis Mixture model Hidden Markov model Naive Bayes classifier Variational Bayesian methods Random walk Causality Kullback–Leibler divergence Statistics Bayesian statistics Markov models
46	Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation James Foulds Levi Boyles Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2013-06-25 05:58:01 Expectation–maximization algorithm Variational Bayesian methods Topic model Algorithm Gibbs sampling Natural language processing Dirichlet process Mathematical optimization Dynamic topic model Statistics Statistical natural language processing Latent Dirichlet allocation
47	Hybrid Variational/Gibbs Collapsed Inference in Topic Models Max Welling∗ Dept. Computer Science University of California Irvine Irvine, CA, USA Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-05-14 13:35:04 Variational Bayesian methods Expectation–maximization algorithm Gibbs sampling Bayesian network Centimetre–gram–second system of units Belief propagation Bayesian inference Latent Dirichlet allocation Perplexity Statistics Bayesian statistics Graphical models
48	arXiv:1312.6114v9 [stat.ML] 10 AprAuto-Encoding Variational Bayes Max Welling Machine Learning Group Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-04-19 07:05:02 Statistical models Statistical inference Expectation–maximization algorithm Missing data Variational Bayesian methods Maximum likelihood Normal distribution Bayesian network Marginal likelihood Statistics Estimation theory Bayesian statistics
49	THIS IS A DRAFT VERSION. FINAL VERSION TO BE PUBLISHED AT NIPS ’06 Structure Learning in Markov Random Fields Sridevi Parise Bren School of Information and Computer Science Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2006-09-04 17:32:02 Probability theory Estimation theory Graphical models Marginal likelihood Expectation–maximization algorithm Variational Bayesian methods Normal distribution Maximum likelihood Bayesian network Statistics Bayesian statistics Statistical theory
50	Evidence Estimation for Bayesian Partially Observed MRFs Yutian Chen Department of Computer Science University of California, Irvine Irvine, CA 92697 Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2013-02-14 03:02:58 Normal distribution Expectation–maximization algorithm Variational Bayesian methods Bayesian network Markov chain Monte Carlo Maximum likelihood Deviance information criterion Pierre-Simon Laplace Markov random field Statistics Bayesian statistics Marginal likelihood