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Expectation–maximization algorithm
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#	Item
701	Advanced Review Record linkage Thomas H. Herzog,1 Fritz Scheuren2 and William E. Winkler3∗ This article describes methods for matching duplicates within or across files using non-unique identifiers such as first name, Add to Reading List Source URL: s3.amazonaws.com Language: English - Date: 2014-02-27 00:54:46 Data management Record linkage Dynamic programming String metric Multivariate statistics Expectation–maximization algorithm Approximate string matching Comparator N-gram Statistics Machine learning Computer algebra
702	Representing hierarchical POMDPs as DBNs for multi-scale robot localization Georgios Theocharous Kevin Murphy Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:54 Dynamic programming Stochastic control Hierarchical hidden Markov model Hidden Markov model Partially observable Markov decision process Expectation–maximization algorithm Markov decision process Algorithm Markov chain Statistics Markov processes Markov models
703	COMPUTATIONAL STATISTICS AND DATA ANALYSIS CALL FOR PAPERS 3rd Special Issue on ADVANCES IN MIXTURE MODELS http://www.journals.elsevier.com/locate/csda We are inviting submissions for a special issue of Computational Sta Add to Reading List Source URL: www.cmstatistics.org Language: English - Date: 2014-02-05 04:12:17 Cluster analysis Mixture model Scientific modelling Expectation–maximization algorithm Data analysis Statistics Probability and statistics Machine learning
704	FlexMix: A General Framework for Finite Mixture Models and Latent Class Regression in R Friedrich Leisch Universit¨at f¨ ur Bodenkultur Wien Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-24 11:27:12 Econometrics Statistical models Actuarial science Mixture model Expectation–maximization algorithm Poisson regression Generalized linear model Maximum likelihood Linear regression Statistics Estimation theory Regression analysis
705	Representing hierarchical POMDPs as DBNs for multi-scale robot localization Georgios Theocharous THEOCHAR @ AI . MIT. EDU Kevin Murphy MURPHYK @ AI . MIT. EDU Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:50 Dynamic programming Stochastic control Hierarchical hidden Markov model Partially observable Markov decision process Hidden Markov model Markov decision process Expectation–maximization algorithm Markov chain Belief propagation Statistics Markov processes Markov models
706	Correlated Topic Models David M. Blei Department of Computer Science Princeton University Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Normal distribution Latent Dirichlet allocation Expectation–maximization algorithm Log-normal distribution Exponential family Topic model Maximum likelihood Multivariate normal distribution Dirichlet distribution Statistics Statistical natural language processing Estimation theory
707	Probabilistic Models of Nonprojective Dependency Trees David A. Smith Department of Computer Science Center for Language and Speech Processing Johns Hopkins University Baltimore, MD[removed]USA Add to Reading List Source URL: www.ccs.neu.edu Language: English - Date: 2007-05-20 23:22:49 Maximum likelihood Expectation–maximization algorithm Bayes estimator Loss function Information bottleneck method Entailment Conditional random field Statistics Estimation theory Statistical theory
708	Discovering Factions in the Computational Linguistics Community Yanchuan Sim Noah A. Smith Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213, USA {ysim,nasmith}@cs.cmu.edu Add to Reading List Source URL: www.ccs.neu.edu Language: English - Date: 2012-06-10 12:03:21 Statistics Bibliometrics Natural language processing Semantics Word-sense disambiguation Curry–Howard correspondence Bibliographic coupling Expectation–maximization algorithm WordNet Computational linguistics Linguistics Science
709	COMPUTATIONAL STATISTICS AND DATA ANALYSIS CALL FOR PAPERS 3rd Special Issue on ADVANCES IN MIXTURE MODELS http://www.journals.elsevier.com/locate/csda We are inviting submissions for a special issue of Computational Sta Add to Reading List Source URL: www.cmstatistics.org Language: English - Date: 2014-02-05 04:13:28 Cluster analysis Mixture model Scientific modelling Expectation–maximization algorithm Data analysis Statistics Probability and statistics Machine learning
710	A Model for Handling Approximate, Noisy or Incomplete Labeling in Text Classification Ganesh Ramakrishnan Krishna Prasad Chitrapura Raghu Krishnapuram IBM India Research Lab, IIT, New Delhi, India Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:51 Naive Bayes classifier Support vector machine Supervised learning Document classification Expectation–maximization algorithm Probabilistic latent semantic analysis Kalman filter Object categorization from image search Semi-supervised learning Statistics Machine learning Statistical classification

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