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Hierarchical Dirichlet process
Results: 52

#	Item
21	Efficient Bayesian Methods for Clustering Katherine Ann Heller B.S., Computer Science, Applied Mathematics and Statistics, State University of New York at Stony Brook, USAM.S., Computer Science, Columbia Universi Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2009-04-21 20:33:21 Machine learning Cluster analysis Data mining Mixture model Graphical model Hierarchical clustering Bayesian inference Dirichlet process Content-based image retrieval Statistics Bayesian statistics Statistical models
22	Hierarchical Learning of Dimensional Biases in Human Categorization Adam Sanborn Gatsby Computational Neuroscience Unit University College London Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2009-12-15 22:15:42 Learning theory Cluster analysis Data analysis Mixture model Dimensional analysis Dimension Multivariate normal distribution Dirichlet process Covariance matrix Statistics Machine learning Concept learning
23	A Variational Approximation for Topic Modeling of Hierarchical Corpora Do-kyum Kim Geoffrey M. Voelker Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2013-03-20 12:49:52 Statistical models Latent Dirichlet allocation Variational Bayesian methods Graphical models Topic model Expectation–maximization algorithm Mixture model Dirichlet process Dirichlet distribution Statistics Statistical natural language processing Bayesian statistics
24	Online Variational Inference for the Hierarchical Dirichlet Process Chong Wang John Paisley David M. Blei Computer Science Department, Princeton University Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2011-06-30 04:29:57 Latent Dirichlet allocation Dynamic topic model Variational Bayesian methods Topic model Hidden Markov model Calculus of variations Mixture model Bayesian inference Dirichlet process Statistics Statistical natural language processing Bayesian statistics
25	Applied Nonparametric Bayes Michael I. Jordan Department of Electrical Engineering and Computer Science Department of Statistics University of California, Berkeley http://www.cs.berkeley.edu/∼jordan Add to Reading List Source URL: www.siam.org Language: English - Date: 2009-06-18 10:03:04 Statistical inference Philosophy of science Statistical models Bayesian inference Dirichlet process Frequentist inference Exchangeable random variables Parametric model Hierarchical Bayes model Statistics Bayesian statistics Statistical theory
26	CONTENT-BASED MUSICAL SIMILARITY COMPUTATION USING THE HIERARCHICAL DIRICHLET PROCESS Matthew Hoffman Princeton University Dept. of Computer Science Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Dirichlet process Hidden Markov model Mixture model Expectation–maximization algorithm Information retrieval Dirichlet distribution Normal distribution Semantic similarity Kullback–Leibler divergence Statistics Machine learning Natural language processing
27	Supplement to 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
28	Online Variational Inference for the Hierarchical Dirichlet Process Chong Wang John Paisley David M. Blei Computer Science Department, Princeton University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Latent Dirichlet allocation Dynamic topic model Variational Bayesian methods Topic model Hidden Markov model Calculus of variations Mixture model Bayesian inference Dirichlet process Statistics Statistical natural language processing Bayesian statistics
29	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
30	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

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