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Dirichlet process
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#	Item
131	Distance Dependent Infinite Latent Feature Models Samuel J. Gershman1 , Peter I. Frazier2 and David M. Blei3 1 Department of Brain and Cognitive Sciences, Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Dirichlet process Chinese restaurant process Markov chain Mixture model Statistics Stochastic processes Statistical models
132	Proc. of the 12th Int. Conference on Digital Audio Effects (DAFx-09), Como, Italy, September 1-4, 2009 FINDING LATENT SOURCES IN RECORDED MUSIC WITH A SHIFT-INVARIANT HDP Matthew D. Hoffman David M. Blei∗ Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Mathematical sciences Mathematics Dirichlet process Constructible universe Ordinal number
133	DATA-DRIVEN RECOMPOSITION USING THE HIERARCHICAL DIRICHLET PROCESS HIDDEN MARKOV MODEL Matthew D. Hoffman† , Perry R. Cook†‡ , David M. Blei† Princeton University †Dept. of Computer Science ‡Dept. of Music Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Probability and statistics Hidden Markov model Markov chain Speech recognition Stochastic matrix Viterbi algorithm Expectation–maximization algorithm Gibbs sampling Hierarchical hidden Markov model Markov models Statistics Machine learning
134	The Nested Chinese Restaurant Process and Bayesian Nonparametric Inference of Topic Hierarchies DAVID M. BLEI Princeton University, Princeton, New Jersey AND Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:20 Statistical natural language processing Statistical models Statistical inference Dirichlet process Latent Dirichlet allocation Chinese restaurant process Non-parametric statistics Mixture model Bayesian network Statistics Stochastic processes Bayesian statistics
135	Variational Inference for Adaptor Grammars Noah A. Smith David M. Blei Shay B. Cohen School of Computer Science Computer Science Department School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Stochastic processes Bayesian statistics Statistical models Probability theory Dirichlet process Formal grammar Pitman–Yor process Gibbs sampling Inside-outside algorithm Statistics Probability and statistics Formal languages
136	Variational Bayesian Inference with Stochastic Search John Paisley1 David M. Blei3 Michael I. Jordan1,2 1 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Bayesian statistics Probability theory Science Variational Bayesian methods Variational message passing Marginal likelihood Dirichlet process Variational method Delta method Statistics Estimation theory Logic
137	Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process Chong Wang Computer Science Department Princeton University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Statistical inference Latent Dirichlet allocation Dirichlet process Dirichlet distribution Concentration parameter Mixture model Topic model Multinomial distribution Bayesian inference Statistics Statistical natural language processing Bayesian statistics
138	Truncation-free Stochastic Variational Inference for Bayesian Nonparametric Models Chong Wang⇤ Machine Learning Department Carnegie Mellon University [removed] Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Dirichlet process Latent Dirichlet allocation Mixture model Bayesian inference Importance sampling Inference Conjugate prior Hierarchical Bayes model Dirichlet distribution Statistics Bayesian statistics Variational Bayesian methods
139	Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation Indraneel Mukherjee David M. Blei Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Bayesian statistics Statistical models Latent Dirichlet allocation Variational Bayesian methods Expectation–maximization algorithm Mixture model Probabilistic latent semantic analysis Dirichlet process Latent semantic analysis Statistics Statistical natural language processing Natural language processing
140	review articles doi:[removed][removed]Surveying a suite of algorithms that offer a solution to managing large document archives. by David M. Blei Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:20 Topic model Latent Dirichlet allocation Dynamic topic model Probabilistic latent semantic analysis Document-term matrix Mixture model Pachinko allocation Information retrieval Dirichlet process Statistics Statistical natural language processing Probability and statistics