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Expectation–maximization algorithm
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#	Item
561	Prototype-Driven Learning for Sequence Models Aria Haghighi Computer Science Division University of California Berkeley [removed] Add to Reading List Source URL: nlp.cs.berkeley.edu Language: English - Date: 2014-12-01 18:52:27 Science Linguistics Computational linguistics Part-of-speech tagging Word-sense disambiguation Hidden Markov model Prototype Natural language processing Expectation–maximization algorithm Statistics Markov models Estimation theory
562	Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition Jeff Schneider Robotics Institute Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2014-09-10 18:54:40 Markov models Linear algebra Tensors Numerical linear algebra Functional analysis Markov chain Hidden Markov model Expectation–maximization algorithm Matrix Algebra Statistics Mathematics
563	Incomplete Data Estimation by Fabiano SG de Oliveira [removed] Multivariate Data • Add to Reading List Source URL: www.dddas.org Language: English - Date: 2006-07-12 14:15:36 Data analysis Missing data Regression analysis Censoring Expectation–maximization algorithm Imputation Linear regression Maximum likelihood Maximum likelihood sequence estimation Statistics Estimation theory Econometrics
564	Package ‘CAMAN’ October 23, 2014 Type Package Version 0.72 Date[removed]Title Finite Mixture Models and meta-analysis tools - based on C.A.MAN Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-10-23 07:32:23 Cluster analysis Machine learning Mixture model Outlier Aspirin Meta-analysis Analysis of variance Normal distribution Expectation–maximization algorithm Statistics Design of experiments Parametric statistics
565	Microsoft PowerPoint - 2-Mentre_FINAL [Read-Only] [Compatibility Mode] Add to Reading List Source URL: www.accp1.org Language: English - Date: 2011-03-25 17:34:41 Maximum likelihood Mixed model Statistics Estimation theory Expectation–maximization algorithm
566	Package ‘MARSS’ July 2, 2014 Type Package Title Multivariate Autoregressive State-Space Modeling Version 3.9 Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 10:00:15 Statistical theory Markov models Multivariate normal distribution Normal distribution Maximum likelihood Expectation–maximization algorithm Parameter Kalman filter Statistics Estimation theory M-estimators
567	LNAI[removed]Fully Utilize Feedbacks: Language Model Based Relevance Feedback in Information Retrieval Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-09-16 17:44:17 Relevance feedback Relevance Vector space model Precision and recall Language model Document retrieval N-gram Query expansion Expectation–maximization algorithm Information science Information retrieval Science
568	In: M. I. Jordan, M. J. Kearns and S. S. Solla (ed) Advances in Neural Information Processing Systems 10 Phase transitions and the perceptual organization of video sequences Yair Weiss Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2002-10-16 06:36:41 Statistics Maximum likelihood Likelihood function Expectation–maximization algorithm Eigenvalues and eigenvectors Hessian matrix Perceptron Algebra Mathematics Estimation theory
569	Spectral Learning of Hidden Markov Models from Dynamic and Static Data Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2014-09-10 11:52:47 Markov models Functional analysis Multivariate statistics Numerical linear algebra Linear algebra Principal component analysis Expectation–maximization algorithm Singular value decomposition Markov chain Statistics Algebra Mathematics
570	Reducing Reliance on Relevance Judgments for System Comparison by Using Expectation-Maximization Ning Gao,1 William Webber2 and Douglas W. Oard1 1 College of Information Studies/UMIACS, University of Maryland, College P Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-09-16 17:44:38 Statistics Natural language processing Computational linguistics Text Retrieval Conference Relevance Precision and recall Expectation–maximization algorithm Judgment Relevance feedback Information science Information retrieval Science

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