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Hierarchical Dirichlet process
Results: 52

#	Item
41	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.princeton.edu Language: English - Date: 2011-05-12 14:11:19 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
42	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.princeton.edu Language: English - Date: 2010-08-18 22:20:55 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
43	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.princeton.edu Language: English - Date: 2012-11-10 21:14:58 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
44	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.princeton.edu Language: English - Date: 2010-08-18 22:20:55
45	Viet-An Nguyen, Jordan Boyd-Graber, and Philip Resnik. Lexical and Hierarchical Topic Regression. Neural Information Processing Systems, 2013. @inproceedings{Nguyen:Boyd-Graber:Resnik-2013, Title = {Lexical and Hierarchi Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-07-09 22:19:36 Regression analysis Latent Dirichlet allocation Topic model Linear regression Dirichlet process Statistics Statistical natural language processing Econometrics
46	Bayesian Hierarchical Clustering Katherine A. Heller Zoubin Ghahramani Gatsby Computational Neuroscience Unit, UCL, London, WC1N 3AR, UK Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:20 Bayesian statistics Bioinformatics Data mining Single-linkage clustering Hierarchical clustering Mixture model Conjugate prior Dirichlet process Hidden Markov model Statistics Machine learning Cluster analysis
47	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
48	A Hierarchical Dirichlet Process Model with Multiple Levels of Clustering for Human EEG Seizure Modeling Drausin Wulsin Dept. of Bioengineering, University of Pennsylvania, Philadelphia, PA USA Shane Jensen Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:19:50 Epilepsy Stochastic processes Seizure types Medical terms Neurosurgery Epileptic seizure Dirichlet process Brain Central nervous system Medicine
49	Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling Changyou Chen1,3 [removed] Research School of Computer Science, The Australian National University, Canberra, ACT, Australia Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:08 Statistical natural language processing Dirichlet process Probability theory Dirichlet distribution Mixture model Pitman–Yor process Dynamic topic model Sampling Concentration parameter Statistics Stochastic processes Statistical models
50	A Variational Approximation for Topic Modeling of Hierarchical Corpora Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2013-03-21 14:29:13 Statistical models Latent Dirichlet allocation Variational Bayesian methods Graphical models Expectation–maximization algorithm Topic model Mixture model Dirichlet distribution Dirichlet process Statistics Statistical natural language processing Bayesian statistics