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Mixture model
Results: 969

#	Item
861	STATISTICS SEMINAR Xiuqin Bai Ph.D. Defense June 18, 2014 Ackert 120 ~ 1:30-3:30 p.m. Add to Reading List Source URL: www.k-state.edu Language: English - Date: 2014-05-19 14:20:52 Statistical theory Robust statistics Econometrics Outlier Maximum likelihood Errors and residuals in statistics Mixture model Expectation–maximization algorithm Robust regression Statistics Regression analysis Estimation theory
862	Development of a PBPK model of aggregate exposure to a mixture of VOCs and its implication in water guideline development Nazanin Kaveh, MSc Add to Reading List Source URL: www.ies.unsw.edu.au Language: English - Date: 2014-05-28 00:26:48 Physiologically based pharmacokinetic modelling Reference dose Volatile organic compound Environment Tolerable daily intake Toxicology Medicine Health
863	Face Recognition using Mixture-Distance and Raw Images Steve Lawrence, Peter Yianilos, Add to Reading List Source URL: www.pnylab.com Language: English - Date: 2002-06-29 21:55:51 Machine learning Cluster analysis Singular value decomposition Data analysis Mixture model Eigenface Expectation–maximization algorithm Eigenvalues and eigenvectors K-nearest neighbor algorithm Statistics Algebra Mathematics
864	Deep Mixtures of Factor Analysers Yichuan Tang [removed] Ruslan Salakhutdinov [removed] Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-09-17 19:48:33 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
865	COMBINED ALGORITHMS FOR FITTING FINITE MIXTURE DISTRIBUTIONS COMBINED ALGORITHMS FOR CONSTRAINED ESTIMATION OF FINITE MIXTURE DISTRIBUTIONS WITH GROUPED Add to Reading List Source URL: icarus.math.mcmaster.ca Language: English - Date: 2006-07-28 11:20:38 Expectation–maximization algorithm Missing data Probability theory Data analysis Mixture distribution Maximum likelihood Variance Parameter Mixture model Statistics Estimation theory Statistical theory
866	Vol. 20 no[removed], pages 1222–1232 DOI: [removed]bioinformatics/bth068 BIOINFORMATICS Bayesian mixture model based clustering of Add to Reading List Source URL: eh3.uc.edu Language: English - Date: 2008-06-13 20:29:56 Cluster analysis Gene expression Psychometrics K-means clustering Gibbs sampling Gene expression profiling DNA microarray Consensus clustering Statistics Biology Microarrays
867	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
868	Microsoft Word - Bayesian model averaging-BIOKDD04.doc Add to Reading List Source URL: eh3.uc.edu Language: English - Date: 2008-06-13 20:29:57 Statistical models Cluster analysis Multivariate statistics Expectation–maximization algorithm Dirichlet process Gibbs sampling Mixture model K-means clustering Statistical classification Statistics Machine learning Bayesian statistics
869	CLUSTERING MULTINOMIAL OBSERVATIONS VIA FINITE AND INFINITE MIXTURE MODELS AND MCMC ALGORITHMS Mario Medvedovic, University of Cincinnati Medical Center Mario Medvedovic, Department of Environmental Health, University of Add to Reading List Source URL: eh3.uc.edu Language: English - Date: 2008-06-13 20:29:56 Cluster analysis Mixture model Mixture distribution Dirichlet process K-means clustering Multinomial distribution Statistical classification Probability distribution Mixture Statistics Machine learning Statistical models
870	Fourth Workshop on BAYESIAN INFERENCE IN STOCHASTIC PROCESSES Villa Monastero, Varenna (LC), Italy Add to Reading List Source URL: www.mi.imati.cnr.it Language: English - Date: 2005-06-02 18:40:43 Stochastic processes Statistical inference Computational statistics Hidden Markov model Mixture model Bayesian inference Dirichlet process Particle filter Gibbs sampling Statistics Markov models Bayesian statistics

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