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Expectation–maximization algorithm
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#	Item
191	THE GRAPHICAL MODELS TOOLKIT: AN OPEN SOURCE SOFTWARE SYSTEM FOR SPEECH AND TIME-SERIES PROCESSING Jeff Bilmes and Geoffrey Zweig Department of Electrical Engineering, University of Washington, Seattle WAIBM T. J. Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2006-02-10 14:51:58 Graphical models Statistical models Bayesian statistics Markov models Networks Hidden Markov model Bayesian network Markov random field Expectation–maximization algorithm Statistics Probability and statistics Probability
192	Content-based recommendations with Poisson factorization Prem Gopalan, Laurent Charlin, David M. Blei Department of Computer Science Princeton University Princeton, NJ 08540 Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-11-03 20:43:16 Expectation–maximization algorithm Poisson distribution Non-negative matrix factorization Recommender system Collaborative filtering Topic model Information retrieval Gamma distribution Latent variable Statistics Statistical natural language processing Latent Dirichlet allocation
193	1 Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation and Recognition using Knowledge Propagation Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2009-04-15 12:42:52 Missing data Statistics Estimation theory Expectation–maximization algorithm
194	Leveraging User Libraries to Bootstrap Collaborative Filtering Laurent Charlin ∗ Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-07-09 14:36:57 Econometrics Information retrieval Estimation theory Information systems Collaborative filtering Expectation–maximization algorithm Cold start Regression analysis Recommender system Statistics Collective intelligence Information science
195	Characterizing spot price dynamics in public cloud environments Add to Reading List Source URL: www.cloudbus.org Language: English - Date: 2013-02-08 00:03:11 Amazon.com Dot-com Money supply Bond duration Futures contract Cloud computing Mixture model Expectation–maximization algorithm Statistics Economics Pricing
196	Variational Bayesian Image Modelling Li Cheng Department of Computing Science, University of Alberta, Canada Feng Jiao School of Computer Science, University of Waterloo, Canada Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2005-06-06 20:56:00 Model selection Estimation theory Statistical theory Expectation–maximization algorithm Gamma distribution Variational Bayesian methods Bayesian information criterion Conjugate prior Kullback–Leibler divergence Statistics Bayesian statistics Bayesian inference
197	Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing Long (Leo) Zhu Department of Statistics University of California at Los Angeles Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2008-06-10 16:49:54 Artificial intelligence Graphical models Statistical models Bioinformatics Constellation model Expectation–maximization algorithm Conditional random field Bayesian network Supervised learning Statistics Machine learning Probability and statistics
198	Corroborating Information from Disagreeing Views∗ Alban Galland Serge Abiteboul INRIA Saclay – Île-de-France Add to Reading List Source URL: www.wsdm-conference.org Language: English - Date: 2009-12-30 01:23:04 Expectation–maximization algorithm Confidence interval Estimator Score Algorithm Statistics Estimation theory Maximum likelihood
199	fLDA: Matrix Factorization through Latent Dirichlet Allocation Deepak Agarwal Bee-Chung Chen Add to Reading List Source URL: www.wsdm-conference.org Language: English - Date: 2009-12-30 01:18:42 Estimation theory Econometrics Categorical data Latent Dirichlet allocation Expectation–maximization algorithm Topic model Logistic regression Linear regression Recommender system Statistics Regression analysis Statistical natural language processing
200	On Learning Mixtures of Heavy-Tailed Distributions Anirban Dasgupta John Hopcroft Abstract Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2005-08-11 23:51:59 Multivariate statistics Generalized functions Data mining Mixture model Expectation–maximization algorithm Normal distribution Mixture distribution Distribution Statistics Machine learning Cluster analysis

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