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Gibbs sampling
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#	Item
81	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
82	Journal of Machine Learning Research xx-xx Submitted 6/08; Published xx/xx Distributed Algorithms for Topic Models David Newman Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2009-09-08 17:03:36 Latent Dirichlet allocation Statistical classification Bayesian networks Topic model Mixture model Dirichlet process Linear discriminant analysis Algorithm Gibbs sampling Statistics Statistical natural language processing Statistical models
83	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
84	Distributed Inference for Latent Dirichlet Allocation David Newman, Arthur Asuncion, Padhraic Smyth, Max Welling Department of Computer Science University of California, Irvine newman,asuncion,smyth,welling @ics.uci.ed Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2007-11-27 13:08:31 Latent Dirichlet allocation Linear discriminant analysis Machine learning Parallel computing Algorithm Gibbs sampling Mixture model Speedup Expectation–maximization algorithm Statistics Statistical natural language processing Statistical classification
85	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
86	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
87	arXiv:1301.4168v2 [cs.LG] 16 MarHerded Gibbs Sampling Luke Bornn Harvard University Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2013-04-19 06:38:10 Applied mathematics Statistical mechanics Markov chain Monte Carlo Gibbs sampling Monte Carlo methods Conditional random field Gibbs algorithm Markov chain Viterbi algorithm Statistics Probability and statistics Markov models
88	Fast Collapsed Gibbs Sampling For Latent Dirichlet Allocation Ian Porteous David Newman Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-06-20 08:39:24 Dirichlet process Linear discriminant analysis Mixture model Topic model Speedup Gibbs sampling Sampling Statistics Statistical natural language processing Latent Dirichlet allocation
89	Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines Asja Fischer and Christian Igel Institut f¨ ur Neuroinformatik Add to Reading List Source URL: image.diku.dk - Date: 2011-08-26 07:00:39
90	Label Switch in Mixture Model and Relabeling Algorithm Project for Reading Course Prepared by: Fanfu Xie, ZhengFei Chen Label Switch in Mixture Model and Relabeling Algorithm Add to Reading List Source URL: probability.ca Language: English - Date: 2009-08-30 09:25:51 Estimation theory Computational statistics Monte Carlo methods Bayesian statistics Mixture model Markov chain Monte Carlo Markov chain Mixture distribution Gibbs sampling Statistics Probability and statistics Markov models

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