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Mixture model
Results: 969

#	Item
641	LARGE MARGIN GAUSSIAN MIXTURE MODELING FOR PHONETIC CLASSIFICATION AND RECOGNITION Fei Sha and Lawrence K. Saul University of Pennsylvania Department of Computer and Information Science 3330 Walnut Street, Levine Hall Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:01 Support vector machine Decision boundary Pattern recognition Speech recognition Mixture model Outlier Semidefinite programming Hidden Markov model Statistics Machine learning Statistical classification
642	Von Mises-Fisher Clustering Models Siddharth Gopal Carnegie Mellon University, Pittsburgh, PA[removed]USA SGOPAL 1@ CS . CMU . EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Expectation–maximization algorithm Dirichlet process Cluster analysis Dynamic topic model Empirical Bayes method Latent Dirichlet allocation Bayesian inference Exponential family Bayesian network Statistics Bayesian statistics Mixture model
643	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: 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
644	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.princeton.edu Language: English - Date: 2010-08-18 22:20:55 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
645	Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation Indraneel Mukherjee David M. Blei Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:56 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
646	Journal of Machine Learning Research[removed]1347 Submitted 6/12; Published 5/13 Stochastic Variational Inference Matthew D. Hoffman Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2013-06-14 05:31:44 Estimation theory Econometrics Statistical models Expectation–maximization algorithm Mixture model Markov chain Linear regression Latent Dirichlet allocation Regression analysis Statistics Bayesian statistics Markov models
647	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
648	Modeling Score Distributions for Combining the Outputs of Search Engines R. Manmatha, T. Rath and F. Feng Center for Intelligent Information Retrieval Computer Science Department University of Massachusetts Add to Reading List Source URL: ciir.cs.umass.edu Language: English - Date: 2005-02-01 17:36:16 Text Retrieval Conference Mixture model Precision and recall Query expansion Relevance Normal distribution Probability distribution Relevance feedback Information science Information retrieval Science
649	Continuous Time Dynamic Topic Models Chong Wang Computer Science Dept. Princeton University Princeton, NJ 08540 Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:53 Statistical models Dynamic topic model Markov models Control theory Variational Bayesian methods Latent Dirichlet allocation Mixture model Topic model Probabilistic latent semantic analysis Statistics Statistical natural language processing Bayesian statistics
650	Journal of Machine Learning Research[removed]2410 Submitted 10/09; Revised 12/10; Published 8/10 Distance Dependent Chinese Restaurant Processes David M. Blei Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2013-02-16 21:04:48 Machine learning Probability theory Dirichlet process Chinese restaurant process Mixture model Cluster analysis Mixture Exchangeable random variables Statistics Stochastic processes Statistical models

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