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Expectation–maximization algorithm
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111	Nonlinear Latent Variable Models for Video Sequences Ali Rahimi CSAIL Mass. Inst. Technology Add to Reading List Source URL: www.cba.mit.edu Language: English - Date: 2011-12-13 18:32:02 Multivariate statistics Linear algebra Signal processing Abstract algebra Functions and mappings Nonlinear dimensionality reduction Kalman filter Expectation–maximization algorithm Kernel principal component analysis Statistics Mathematics Algebra
112	Approximate Bayesian computation for the parameters of PRISM programs James Cussens Department of Computer Science & York Centre for Complex Systems Analysis University of York Heslington, York, YO10 5DD, UK. . Add to Reading List Source URL: www.cs.york.ac.uk Language: English - Date: 2010-08-26 11:15:09 Bayesian statistics Econometrics Expectation–maximization algorithm Missing data Maximum likelihood Confidence interval Gamma distribution Likelihood function Hidden Markov model Statistics Estimation theory Statistical theory
113	A Generative Model for Rhythms Yves Grandvalet CNRS Add to Reading List Source URL: bengio.abracadoudou.com Language: English - Date: 2007-11-01 18:56:14 Markov models Estimation theory Bioinformatics Hidden Markov model Levenshtein distance Expectation–maximization algorithm Cross-validation Mixture model Statistics Machine learning Dynamic programming
114	Collaborative Prediction and Ranking with Non-Random Missing Data Benjamin M. Marlin Richard S. Zemel Add to Reading List Source URL: people.cs.ubc.ca Language: English - Date: 2009-08-17 20:00:28 Estimation theory Statistical theory Statistical models Collaborative filtering Recommender system Regression analysis Mixture model Expectation–maximization algorithm Cross-validation Statistics Machine learning Information retrieval
115	Latent Class Models in Longitudinal Research Jeroen K. Vermunt Department of Methodology and Statistics, Tilburg University Bac Tran U.S. Census Bureau Jay Magidson Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2008-01-22 12:06:02 Markov processes Categorical data Econometrics Latent class model Latent variable Expectation–maximization algorithm Hidden Markov model Markov chain Mixture model Statistics Statistical models Markov models
116	The Annals of Statistics 2005, Vol. 33, No. 4, 1617–1642 DOI009053605000000200 © Institute of Mathematical Statistics, 2005 VARIABLE SELECTION USING MM ALGORITHMS Add to Reading List Source URL: www.personal.psu.edu Language: English - Date: 2005-09-07 11:13:57 Regression analysis Parametric statistics Linear regression Expectation–maximization algorithm Maximum likelihood Statistics Estimation theory Econometrics
117	Switchable Deep Network for Pedestrian Detection Ping Luo1,3,∗ Yonglong Tian1,∗ Xiaogang Wang2 Xiaoou Tang1,3 1 Add to Reading List Source URL: mmlab.ie.cuhk.edu.hk Language: English - Date: 2014-04-29 03:32:31 Expectation–maximization algorithm Missing data Supervised learning Maximum likelihood Mixture model Pattern recognition Statistics Machine learning Estimation theory
118	PIRLS 2001 Technical Report, Chapter 11 Add to Reading List Source URL: timssandpirls.bc.edu Language: English - Date: 2003-04-09 04:19:56 Econometrics Data analysis Statistical models Item response theory Expectation–maximization algorithm Normal distribution Variance Parameter Polytomous Rasch model Statistics Psychometrics Estimation theory
119	This is page 365 Printer: Opaque this Chapter 15 Cluster-Weighted Modeling: Probabilistic Time Series Prediction, Characterization Add to Reading List Source URL: www.cba.mit.edu Language: English - Date: 2011-12-13 18:32:02 Estimation theory Regression analysis Statistical theory Cluster-weighted modeling Expectation–maximization algorithm Gaussian function Normal distribution Covariance matrix Generalized linear model Statistics Multivariate statistics Data analysis
120	A Gaussian Latent Variable Model for Large Margin Classiﬁcation of Labeled and Unlabeled Data Do-kyum Kim, Matthew Der, and Lawrence K. Saul UC San Diego 1. Overview Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2015-03-01 20:28:42 Semi-supervised learning Support vector machine Expectation–maximization algorithm Supervised learning Mixture model Logarithm Statistics Machine learning Computational statistics

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