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Expectation–maximization algorithm
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#	Item
281	Bounded-Regret Sequential Learning using Prediction Markets⇤ (Extended Abstract) Sindhu Kutty Department of Computer Science and Engineering University of Michigan, Ann Arbor [removed] Add to Reading List Source URL: web.eecs.umich.edu Language: English - Date: 2015-01-12 20:30:02 Bayesian statistics Exponential family Exponentials Normal distribution Parameter Conjugate prior Logarithm Expectation–maximization algorithm Statistics Mathematics Mathematical analysis
282	CONTENT-BASED MUSICAL SIMILARITY COMPUTATION USING THE HIERARCHICAL DIRICHLET PROCESS Matthew Hoffman Princeton University Dept. of Computer Science Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Dirichlet process Hidden Markov model Mixture model Expectation–maximization algorithm Information retrieval Dirichlet distribution Normal distribution Semantic similarity Kullback–Leibler divergence Statistics Machine learning Natural language processing
283	An Adaptive Learning Rate for Stochastic Variational Inference Rajesh Ranganath Princeton University, 35 Olden St., Princeton, NJ[removed]RAJESHR @ CS . PRINCETON . EDU Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Stochastic optimization Probability theory Stochastic approximation Mathematical optimization Bayesian inference Latent Dirichlet allocation Expectation–maximization algorithm Variational Bayesian methods Statistics Bayesian statistics Estimation theory
284	Proceedings ofthe 2004 IEEE Int.rnatlmal Conference on Robotics &Automation New Orleans. LA * Aprll 2004 I Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:47:11 Hidden Markov model Support vector machine Markov chain Speech recognition Baum–Welch algorithm Segmentation Sequential minimal optimization Expectation–maximization algorithm Viterbi algorithm Statistics Machine learning Markov models
285	Relational Topic Models for Document Networks Jonathan Chang Department of Electrical Engineering Princeton University Princeton, NJ 08544 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Latent Dirichlet allocation Topic model Probabilistic latent semantic analysis Information retrieval Regression analysis Markov chain Expectation–maximization algorithm N-gram Statistics Statistical natural language processing Natural language processing
286	Connections between the Lines: Augmenting Social Networks with Text Jonathan Chang Jordan Boyd-Graber Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Science Machine learning Entity-relationship model Topic model Latent Dirichlet allocation Expectation–maximization algorithm Maximum likelihood N-gram Statistics Statistical natural language processing Estimation theory
287	Sparse stochastic inference for latent Dirichlet allocation David Mimno [removed] Princeton U., Dept. of Computer Science, 35 Olden St., Princeton, NJ 08540, USA Matthew D. Hoffman Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Bayesian statistics Latent Dirichlet allocation Expectation–maximization algorithm Variational Bayesian methods Gibbs sampling Dirichlet distribution Topic model Markov chain Monte Carlo Markov chain Statistics Statistical natural language processing Markov models
288	A Comparison on Score Spaces for Expression Microarray Data Classification Alessandro Perina1 , Pietro Lovato2 , Marco Cristani2,3 , and Manuele Bicego2 1 2 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:01 Categorical data Probabilistic latent semantic analysis Statistical classification Fisher kernel Generative model Latent Dirichlet allocation Expectation–maximization algorithm Statistics Statistical natural language processing Machine learning
289	PARAMETER ESTIMATION IN ULTRASONIC MEASUREMENTS ON TRABECULAR BONE Karen R. Marutyan, PhD∗ , Christian C. Anderson, MA† , Keith A. Wear PhD∗∗ , Mark R. Holland, PhD† , James G. Miller, PhD† and G. Larry Brett Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2011-04-28 12:02:53 Statistical inference Bayesian probability Philosophy of mathematics Philosophy of science Bayesian inference Inverse probability Markov chain Probability Expectation–maximization algorithm Statistics Bayesian statistics Probability interpretations
290	doi:[removed]j.cviu[removed] Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:50:38 Hidden Markov model Segmentation Cluster analysis Markov chain Region growing Expectation–maximization algorithm Entropy Layered hidden Markov model Statistics Markov models Image processing

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