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Mixture model
Results: 969

#	Item
781	Deep Mixtures of Factor Analysers Yichuan Tang [removed] Ruslan Salakhutdinov [removed] Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:19:54 Machine learning Data analysis Multivariate statistics Expectation–maximization algorithm Mixture model Principal component analysis Maximum likelihood Independent component analysis Supervised learning Statistics Statistical models Estimation theory
782	N EWS AND N OTES 186 Changes on CRAN[removed]to[removed] Add to Reading List Source URL: journal.r-project.org Language: English - Date: 2014-07-29 04:20:02 Econometrics Estimation theory Research methods Linear regression Meta-analysis Optimal design Multivariate analysis Expectation–maximization algorithm Mixture model Statistics Statistical methods Regression analysis
783	A New Approach of Genetic-based EM Algorithm for Mixture Models Sachith Abeysundara, Byungtae Seo (Department of Mathematics & Statistics) Abstract Simulation Results Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-29 16:34:29 Statistical models Expectation–maximization algorithm Missing data Bayesian statistics Mixture model Genetic algorithm Maximum likelihood Mixture distribution Algorithm Statistics Estimation theory Machine learning
784	The Nonparametric Metadata Dependent Relational Model Dae Il Kim [removed] Michael C. Hughes [removed] Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:38 Autoregressive model Parametric model Dirichlet process Mixture model Function Relational model Regression analysis Statistics Statistical models Markov chain
785	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
786	The EM algorithm for interval-valued data Hani Hamdan1,* 1. SUPELEC, Department of Signal Processing and Electronic Systems, FRANCE Contact author: [removed] Keywords: EM algorithm, Clustering, Interval-va Add to Reading List Source URL: www3.stat.sinica.edu.tw Language: English* - Date: 2014-05-21 03:05:02 Missing data Statistical models Machine learning Cluster analysis Mixture model EM Maximum likelihood Baum–Welch algorithm Rasch model estimation Statistics Estimation theory Expectation–maximization algorithm
787	F INITE MIXTURE MODELING OF G AUSSIAN REGRESSION TIME SERIES S EMHAR M ICHAEL ([removed]) and V OLODYMYR M ELNYKOV I NTRODUCTION M ETHODOLOGY– KF-EM Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-30 16:28:45 Estimation theory Cluster analysis Statistical models Expectation–maximization algorithm Regression analysis Mixture model Akaike information criterion Autoregressive conditional heteroskedasticity Western White Pine Statistics Econometrics Machine learning
788	C ONTRIBUTED R ESEARCH A RTICLES 101 Rankcluster: An R Package for Clustering Multivariate Partial Rankings Add to Reading List Source URL: journal.r-project.org Language: English - Date: 2014-07-29 04:20:02 Cluster analysis Data analysis Data mining Expectation–maximization algorithm Mixture model Bayesian information criterion Consensus clustering Statistics Machine learning Multivariate statistics
789	Reply to the discussion David Spiegelhalter, Nicky Best, Brad Carlin and Angelika van der Linde Revised May 3rd, 2002 We thank all the contributors for their wide-ranging and provocative discussion. Our reply is organise Add to Reading List Source URL: www.biostat.umn.edu Language: English - Date: 2006-11-16 18:16:54 Bayesian inference Model selection Estimation theory Prior probability Bayes factor Bayes estimator Akaike information criterion Loss function Mixture model Statistics Bayesian statistics Statistical theory

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