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Expectation–maximization algorithm
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611	Engineering Tripos Part IIB FOURTH YEAR Module 4F10: STATISTICAL PATTERN RECOGNITION Examples Paper 1 Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-11-08 06:57:05 Statistical theory Maximum likelihood Normal distribution Variance Expectation–maximization algorithm Mixture model Covariance matrix Mixture distribution Statistics Estimation theory Data analysis
612	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
613	Online Learning for Latent Dirichlet Allocation David M. Blei Department of Computer Science Princeton University Princeton, NJ Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2011-01-13 06:22:07 Markov models Bayesian statistics Latent Dirichlet allocation Expectation–maximization algorithm Variational Bayesian methods Markov chain Topic model Statistics Machine learning Statistical natural language processing
614	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
615	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
616	Supervised topic models Jon D. McAuliffe Department of Statistics University of Pennsylvania, Wharton School Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Expectation–maximization algorithm Latent Dirichlet allocation Normal distribution Exponential family Errors-in-variables models Statistics Statistical natural language processing Symbol
617	IJCV[removed]), pp[removed], Sept./Oct[removed]Scalable Extrinsic Calibration of Omni-Directional Image Networks MATTHEW ANTONE AND SETH TELLER Computer Graphics Group, MIT Lab for Computer Science, Technology Square, Camb Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2006-12-06 19:07:25 Projective geometry Euclidean plane geometry Algebraic geometry Bundle adjustment Geodesy Surveying Projective plane Expectation–maximization algorithm Duality Geometry Mathematics Algebra
618	DATA-DRIVEN RECOMPOSITION USING THE HIERARCHICAL DIRICHLET PROCESS HIDDEN MARKOV MODEL Matthew D. Hoffman† , Perry R. Cook†‡ , David M. Blei† Princeton University †Dept. of Computer Science ‡Dept. of Music Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Probability and statistics Hidden Markov model Markov chain Speech recognition Stochastic matrix Viterbi algorithm Expectation–maximization algorithm Gibbs sampling Hierarchical hidden Markov model Markov models Statistics Machine learning
619	Package ‘disclapmix’ July 2, 2014 Type Package Title Discrete Laplace mixture inference using the EM algorithm Version 1.5 Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:38:12 Genetic genealogy Estimation theory Haplotype Probability theory Expectation–maximization algorithm Marginal likelihood Laplace distribution Algorithm Probability distribution Statistics Mathematics Applied mathematics
620	Bulletin of Mathematical Biology[removed]: 297–321 DOI[removed]s11538[removed]O R I G I N A L A RT I C L E Markov Random Field Modeling of the Spatial Distribution of Proteins on Cell Membranes Add to Reading List Source URL: www.cs.unm.edu Language: English - Date: 2013-08-20 17:04:40 Probability theory Markov processes Graphical models Artificial intelligence Hidden Markov model Markov random field Gibbs sampling Random field Expectation–maximization algorithm Statistics Probability and statistics Markov models

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