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Mixture model
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431	doi:[removed]j.patcog[removed] Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 18:02:04 Cluster analysis Multivariate statistics Statistical classification K-means clustering Support vector machine Spectral clustering Expectation–maximization algorithm Kernel methods Mixture model Statistics Machine learning Geostatistics
432	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
433	Individual Differences in Explaining Noisy Data Daniel R. Little & Richard M. Shiffrin Department of Psychological and Brain Sciences, Indiana University Introduction Add to Reading List Source URL: old.psych.unimelb.edu.au Language: English - Date: 2012-03-06 16:06:12 Statistical models Dirichlet process Kriging Mixture model Nonparametric regression Conjugate prior Statistics Regression analysis Interpolation
434	Nonparametric Variational Inference Samuel J. Gershman [removed] Department of Psychology, Princeton University, Green Hall, Princeton, NJ[removed]USA Matthew D. Hoffman Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Estimation theory Statistical models Statistical theory Variational Bayesian methods Probability theory Conjugate prior Mixture model Marginal likelihood Kullback–Leibler divergence Statistics Bayesian statistics Probability and statistics
435	doi:[removed]ejpt.v6.27514 Add to Reading List Source URL: rensvandeschoot.files.wordpress.com Language: English Statistical models Categorical data Latent class model Machine learning Posttraumatic stress disorder Mixture model Statistics Medicine Psychiatry
436	Local Pattern Detection and Clustering Are there substantive differences? Frank H¨ oppner University of Applied Sciences Braunschweig/Wolfenb¨ uttel Add to Reading List Source URL: public.fh-wolfenbuettel.de Language: English - Date: 2007-12-03 03:22:38 Data analysis Formal sciences Data mining Pattern recognition OPTICS algorithm K-means clustering Unsupervised learning Mixture model Local outlier factor Statistics Machine learning Cluster analysis
437	Model-Based Clustering With Dissimilarities: A Bayesian Approach Man-Suk O H and Adrian E. R AFTERY A Bayesian model-based clustering method is proposed for clustering objects on the basis of dissimilarites. This combine Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2008-05-20 22:04:55 Cluster analysis Data mining Geostatistics Markov chain Mixture model Single-linkage clustering Multidimensional scaling Normal distribution Statistics Multivariate statistics Machine learning
438	Microsoft Word - comment_on_HRT_RSS_102406.doc Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2008-05-20 22:04:54 Bayesian inference Cluster analysis Statistical models Expectation–maximization algorithm Latent class model Mixture model Bayes factor Exponential random graph models Akaike information criterion Statistics Model selection Estimation theory
439	Hierarchical Bayesian Models for Latent Attribute Detection in Social Media Delip Raoa Michael Paula Clay Finkb David Yarowskya Timothy Oatesc,a Glen Coppersmitha a Human Language Technology Center of Excellence, Johns H Add to Reading List Source URL: www.cs.jhu.edu Language: English - Date: 2011-04-08 08:59:42 Machine learning Model selection Cluster analysis Mixture model Prior probability Latent Dirichlet allocation Hierarchical Bayes model Gibbs sampling Cross-validation Statistics Probability Bayesian statistics
440	Topic Modeling for Native Language Identification Sze-Meng Jojo Wong Mark Dras Mark Johnson Centre for Language Technology Macquarie University Sydney, NSW, Australia {sze.wong,mark.dras,mark.johnson}@mq.edu.au Add to Reading List Source URL: www.alta.asn.au Language: English - Date: 2011-12-09 02:14:03 Artificial intelligence Natural language processing Computational linguistics Speech recognition Latent Dirichlet allocation Topic model N-gram Mixture model Probabilistic latent semantic analysis Statistics Statistical natural language processing Science

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