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Expectation–maximization algorithm
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#	Item
601	Supplementary Materials for Tensor Analyzers Yichuan Tang Ruslan Salakhudinov Geoffrey Hinton Department of Computer Science Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-05-14 15:08:58 Expectation–maximization algorithm Missing data Logarithm Statistics Mathematics Estimation theory
602	CRESST REPORT 834 ESTIMATION OF A RAMSAY-CURVE ITEM RESPONSE THEORY MODEL BY THE METROPOLIS-HASTINGS ROBBINS-MONRO ALGORITHM SEPTEMBER, 2013 Add to Reading List Source URL: www.cse.ucla.edu Language: English - Date: 2013-10-04 20:17:37 Psychometrics Item response theory Expectation–maximization algorithm Latent variable model Fisher information Differential item functioning Polytomous Rasch model Latent variable Likelihood function Statistics Estimation theory Statistical models
603	Clustering through Mixture Models General references: Lindsay B.G[removed]), Mixture models: theory, geometry and applications, NFSCBMS Regional Conference Series in Probability and Statistics. McLachlan G.J., Basford K.E. Add to Reading List Source URL: globin.cse.psu.edu Language: English - Date: 2002-02-21 11:52:34 K-means clustering Expectation–maximization algorithm Cluster analysis Principal component analysis Variance Multivariate normal distribution Statistics Data analysis Multivariate statistics
604	926 IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, VOL. 4, NO. 6, DECEMBER 2010 Online Learning and Acoustic Feature Adaptation in Large-Margin Hidden Markov Models Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:02 Machine learning Estimation theory Statistical models Computer accessibility Speech recognition Hidden Markov model Expectation–maximization algorithm Perceptron Generative model Statistics Markov models Probability and statistics
605	Pattern Anal Applic DOI[removed]s10044[removed]THEORETICAL ADVANCES The aspect Bernoulli model: multiple causes of presences Add to Reading List Source URL: www.helsinki.fi Language: English - Date: 2010-03-17 09:49:52 Model selection Estimation theory Statistical theory Probabilistic latent semantic analysis Expectation–maximization algorithm Latent class model Bernoulli distribution Maximum likelihood Latent Dirichlet allocation Statistics Categorical data Statistical natural language processing
606	Quality and Efficiency in Kernel Density Estimates for Large Data ∗ Yan Zheng, Jeffrey Jestes, Jeff M. Phillips, Feifei Li School of Computing, University of Utah, Salt Lake City, USA Add to Reading List Source URL: www.cs.utah.edu Language: English - Date: 2013-04-15 22:52:04 Non-parametric statistics Finite fields Kernel density estimation Time complexity XTR Expectation–maximization algorithm Shape context Theoretical computer science Statistics Applied mathematics
607	Office of Population Research Princeton University WORKING PAPER SERIES Outlier Detection and Editing Procedures for Continuous Multivariate Data Add to Reading List Source URL: www.opr.princeton.edu Language: English - Date: 2003-11-10 12:18:27 Data analysis Outlier Multivariate normal distribution Univariate Normal distribution Multivariate Student distribution Mahalanobis distance Plot Expectation–maximization algorithm Statistics Robust statistics Estimation theory
608	Chapter 11 Scaling the Data from the TIMSS 2007 Mathematics and Science Assessments Pierre Foy, Joseph Galia, and Isaac Li 11.1 Add to Reading List Source URL: timss.bc.edu Language: English - Date: 2009-08-13 13:53:30 Statistical models Educational research Econometrics Item response theory Trends in International Mathematics and Science Study Expectation–maximization algorithm Variance Linear regression Normal distribution Statistics Estimation theory Data analysis
609	Mixed Membership Stochastic Blockmodels Edoardo M. Airoldi 1,2 , David M. Blei 1 , Stephen E. Fienberg 3,4 & Eric P. Xing 4∗ 1 Department of Computer Science, 2 Lewis-Sigler Institute, Princeton University 3 Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:56 Missing data Bayesian statistics Kalman filter Latent Dirichlet allocation Constructible universe FO Kullback–Leibler divergence Variational Bayesian methods Statistics Estimation theory Expectation–maximization algorithm
610	Tensor Analyzers Yichuan Tang [removed] Ruslan Salakhutdinov [removed] Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-06-17 08:01:35 Binary operations Tensor product Tensor Z3 Expectation–maximization algorithm One-shot learning Vehicle Identification Number Computing Statistics Mathematics Tensors

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