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Expectation–maximization algorithm
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311	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
312	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.columbia.edu Language: English - Date: 2015-03-12 00:16:22 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
313	1 Chapter 4 Efficient Likelihood Estimation and Related Tests 1. Maximum likelihood and efficient likelihood estimation Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2010-02-02 19:46:28 Expectation–maximization algorithm Likelihood function Score Likelihood-ratio test Hájek–Le Cam convolution theorem Extremum estimator Statistics Estimation theory Maximum likelihood
314	LNCS[removed]Exploiting Geometry in Counting Grids Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2014-05-20 05:42:59 Statistical classification Generative model Probabilistic latent semantic analysis Latent Dirichlet allocation Pattern recognition Expectation–maximization algorithm Supervised learning Support vector machine Grid plan Statistics Machine learning Statistical natural language processing
315	Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation Indraneel Mukherjee David M. Blei Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 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
316	Content-based recommendations with Poisson factorization Laurent Charlin Department of Computer Science Columbia University New York, NY 10027 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Linear algebra Matrix theory Bayesian networks Latent Dirichlet allocation Expectation–maximization algorithm Poisson distribution Non-negative matrix factorization Collaborative filtering Gamma distribution Statistics Statistical natural language processing Statistical models
317	ESAIM: Probability and Statistics www.esaim-ps.org ESAIM: PS[removed]–452 DOI: [removed]ps[removed] Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2013-07-04 22:49:38 Expectation–maximization algorithm Normal distribution Cluster analysis Statistics Machine learning K-means clustering
318	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.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Estimation theory Econometrics Statistical models Expectation–maximization algorithm Mixture model Markov chain Linear regression Latent Dirichlet allocation Regression analysis Statistics Bayesian statistics Markov models
319	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
320	A Theoretical Analysis of Pseudo-Relevance Feedback Models Stéphane Clinchant Eric Gaussier Add to Reading List Source URL: ama.liglab.fr Language: English - Date: 2013-07-08 04:02:51 Statistics Statistical natural language processing Tf*idf Relevance feedback Economic model Language model Autoregressive conditional heteroskedasticity Expectation–maximization algorithm Query expansion Information science Information retrieval Science

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