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Expectation–maximization algorithm
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#	Item
301	Markov Topic Models Chong Wang ∗ Computer Science Dept. Princeton University Princeton, NJ 08540 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Mathematics Dynamic topic model Latent Dirichlet allocation Topic model Perplexity Markov random field Expectation–maximization algorithm Information retrieval Statistical natural language processing Statistics Machine learning
302	6.867 Machine learning, lecture 16 (Jaakkola) 1 Lecture topics: • Mixture of Gaussians (cont’d) Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Statistical theory M-estimators Expectation–maximization algorithm Missing data Maximum likelihood Mixture model Conjugate prior Likelihood function Normal distribution Statistics Estimation theory Bayesian statistics
303	Index K -means algorithm, 238, 265 ANOVA, see analysis of variance Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2012-04-23 06:41:58 Cluster analysis Multivariate statistics Data analysis K-means clustering Calibration Random forest Linear classifier Expectation–maximization algorithm K-nearest neighbor algorithm Statistics Machine learning Statistical classification
304	Hierarchical relational models for document networks Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Latent Dirichlet allocation Mixture model Expectation–maximization algorithm Topic model Markov chain Probit model Statistics Machine learning Statistical natural language processing
305	Clustering by intersection-merging Qunhua Li Marina Meila˘ Department of Statistics Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2007-11-27 01:06:05 Mixture model Likelihood function Mixture distribution EM Algorithm Statistics Estimation theory Expectation–maximization algorithm
306	Proceedings of 2010 IEEE 17th International Conference on Image Processing September 26-29, 2010, Hong Kong COMBINING FREE ENERGY SCORE SPACES WITH INFORMATION THEORETIC KERNELS: APPLICATION TO SCENE CLASSIFICATION Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:00 Categorical data Probabilistic latent semantic analysis Statistical natural language processing Discriminative model Support vector machine Expectation–maximization algorithm Kullback–Leibler divergence Kernel Pattern recognition Statistics Machine learning Statistical classification
307	Latent Maximum Margin Clustering Guang-Tong Zhou, Tian Lan, Arash Vahdat, and Greg Mori School of Computing Science Simon Fraser University {gza11,tla58,avahdat,mori}@cs.sfu.ca Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2013-12-02 23:33:32 Cluster analysis Multivariate statistics Data mining Expectation–maximization algorithm Hierarchical clustering K-means clustering Mixture model Latent variable Support vector machine Statistics Statistical models Machine learning
308	Bayesian Nonparametric Matrix Factorization for Recorded Music Matthew D. Hoffman MDHOFFMA @ CS . PRINCETON . EDU David M. Blei BLEI @ CS . PRINCETON . EDU Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Estimation theory Statistical inference Multivariate statistics Non-negative matrix factorization Expectation–maximization algorithm Likelihood function Sufficient statistic Gamma distribution Exponential family Statistics Statistical theory Bayesian statistics
309	Journal of Machine Learning Research[removed]1322 Submitted 9/09; Revised 2/10; Published 4/10 Learning From Crowds Vikas C. Raykar Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2010-04-07 15:50:44 Expectation–maximization algorithm Beta distribution Statistics Estimation theory Maximum likelihood
310	Biologically-aware Latent Dirichlet Allocation (BaLDA) for the Classification of Expression Microarray Alessandro Perina1 , Pietro Lovato1 , Vittorio Murino1,2 , and Manuele Bicego1,2, 2 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:01 Expectation–maximization algorithm Topic model Probabilistic latent semantic analysis Mixture model Dirichlet distribution Latent semantic analysis Statistics Statistical natural language processing Latent Dirichlet allocation

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