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Mixture model
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#	Item
771	Weakly informative priors Andrew Gelman Department of Statistics and Department of Political Science Columbia University 21 Oct 2011 Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2011-10-26 21:29:20 Philosophical logic Prior probability Mixture model Gelman Bayesian statistics Statistics Probability and statistics
772	Joint Latent Topic Models for Text and Citations ∗ Ramesh Nallapati Computer Science Department Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-07-08 08:18:10 Artificial intelligence Dynamic topic model Latent Dirichlet allocation Probabilistic latent semantic analysis Topic model Mixture model Information retrieval PageRank Statistics Statistical natural language processing Machine learning
773	Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream Amr Ahmed [removed] School of Computer Science Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-09-07 21:32:14 Dynamic topic model Latent Dirichlet allocation Concentration parameter Dirichlet process Mixture model Topic model Hidden Markov model Normal distribution Dirichlet distribution Statistics Statistical natural language processing Probability and statistics
774	C ONTRIBUTED RESEARCH ARTICLE 1 Rankcluster: An R Package for Clustering Multivariate Partial Rankings Add to Reading List Source URL: journal.r-project.org Language: English - Date: 2014-03-05 14:20:03 Multivariate statistics Data mining Geostatistics Expectation–maximization algorithm Mixture model Bayesian information criterion Consensus clustering Statistics Machine learning Cluster analysis
775	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: 2008-10-31 18:54:19 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
776	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: 2008-10-31 18:54:20 Dirichlet process Linear discriminant analysis Mixture model Topic model Speedup Gibbs sampling Sampling Statistics Statistical natural language processing Latent Dirichlet allocation
777	THIS IS A DRAFT VERSION. FINAL VERSION TO BE PUBLISHED AT NIPS ’06 A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation Yee Whye Teh Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-10-31 18:54:20 Statistical models Graphical models Variational Bayesian methods Latent Dirichlet allocation Gibbs sampling Bayesian network Normal distribution Marginal likelihood Mixture model Statistics Bayesian statistics Probability and statistics
778	Mixture Models and the EM Algorithm Christopher M. Bishop Microsoft Research, Cambridge 1 Add to Reading List Source URL: www.cs.ubbcluj.ro Language: English - Date: 2007-03-15 04:17:24 Statistical models Expectation propagation Bayesian inference Mixture model Expectation–maximization algorithm TrueSkill Statistics Bayesian statistics Machine learning
779	Methodology for Uncertainty Analysis of Dynamic Computational Toxicology Models Jimena Davis1, John Wambaugh1, Ramon I. Garcia2, R. Woodrow Setzer1 research d ev el opme nt Add to Reading List Source URL: www.epa.gov Language: English - Date: 2012-05-07 10:14:12 Physiologically based pharmacokinetic modelling Hierarchical Bayes model Estimation theory Prior probability Confidence interval Parameter Point estimation Hyperparameter Mixture model Statistics Bayesian statistics Statistical inference

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