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Dirichlet process
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#	Item
221	Journal of Machine Learning Research[removed]1828 Submitted 6/08; Revised 2/09; Published 8/09 Distributed Algorithms for Topic Models David Newman Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2009-08-24 20:16:36 Topic model Mixture model Dirichlet process Linear discriminant analysis Gibbs sampling Parallel computing Dirichlet distribution Algorithm Multi-core processor Statistics Statistical natural language processing Latent Dirichlet allocation
222	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.princeton.edu Language: English - Date: 2012-06-05 15:28:29 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
223	Group Anomaly Detection using Flexible Genre Models Liang Xiong Machine Learning Department, Carnegie Mellon University [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-01-12 12:56:09 Machine learning Data mining Cluster analysis Mixture model Anomaly detection Latent Dirichlet allocation Anomaly Dirichlet process Outlier Statistics Statistical natural language processing Estimation theory
224	Bayesian Analysis for Longitudinal Semicontinuous Data Pulak Ghosh∗ and Paul S. Albert † April 10, 2007 Add to Reading List Source URL: linus.nci.nih.gov Language: English - Date: 2013-03-12 10:01:34 Statistical inference Econometrics Statistical theory Non-parametric statistics Linear regression Errors-in-variables models Bayesian inference Dirichlet process Bootstrapping Statistics Statistical models Regression analysis
225	Unsupervised Joint Alignment and Clustering using Bayesian Nonparametrics Marwan A. Mattar Allen R. Hanson Department of Computer Science Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2012-09-09 18:22:40 Cluster analysis Statistical models K-means clustering Mixture model Expectation–maximization algorithm Dirichlet process Chinese restaurant process Pattern recognition Normal distribution Statistics Machine learning Stochastic processes
226	Bayesian Nonparametric Learning with semi-Markovian Dynamics by Matthew J Johnson B.S. in Electrical Engineering and Computer Sciences Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2012-02-01 13:36:21 Hidden Markov models Bayesian statistics Markov models Hidden semi-Markov model Dirichlet process Gibbs sampling Bayesian inference Mixture model Non-parametric statistics Statistics Stochastic processes Statistical inference
227	Bayesian Haplotype Inference via the Dirichlet Process Eric Xing† [removed] Roded Sharan† [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:48 Population genetics Genetic genealogy Haplotype Dirichlet process Mixture model Expectation–maximization algorithm Gibbs sampling Dirichlet distribution Hardy–Weinberg principle Statistics Genetics Classical genetics
228	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
229	Ke Zhai and Jordan Boyd-Graber. Online Topic Models with Infinite Vocabulary. International Conference on Machine Learning, 2013. @inproceedings{Zhai:Boyd-Graber-2013, Title = {Online Topic Models with Infinite Vocabular Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-07-09 22:19:36 Dynamic topic model Latent Dirichlet allocation Topic model Dirichlet process Mixture model Dirichlet distribution Variational Bayesian methods Information retrieval Prior probability Statistics Probability and statistics Statistical natural language processing
230	Sparsity in Dependency Grammar Induction Jennifer Gillenwater and Kuzman Ganchev João Graça University of Pennsylvania L2 F INESC-ID Philadelphia, PA, USA Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2010-07-05 10:42:37 Machine learning Estimation theory Expectation–maximization algorithm Missing data Dirichlet process Independence Dependency grammar Treebank Regularization Statistics Probability theory Statistical dependence

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