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Expectation–maximization algorithm
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#	Item
591	Fast Speaker Diarization Using a High-Level Scripting Language Ekaterina Gonina #1 , Gerald Friedland ∗2 , Henry Cook #3 , Kurt Keutzer #4 # University of California, Berkeley Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2011-08-20 00:34:35 Graphics hardware Estimation theory Machine learning Video cards CUDA Generalized method of moments Mixture model Segmentation Expectation–maximization algorithm Statistics Computing GPGPU
592	COMPARISON OF LARGE MARGIN TRAINING TO OTHER DISCRIMINATIVE METHODS FOR PHONETIC RECOGNITION BY HIDDEN MARKOV MODELS Fei Sha∗ Lawrence K. Saul† Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:00 Expectation–maximization algorithm Hidden Markov model Maximum likelihood Mixture model Likelihood function Generalized method of moments Statistics Estimation theory Speech recognition
593	TITGT at TRECVID 2009 Workshop Nakamasa Inoue Shanshan Hao Tatsuhiko Saito Koichi Shinoda Department of Computer Science, Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2009-12-07 10:17:01 Scale-invariant feature transform Expectation–maximization algorithm Parameter Generalized method of moments Normal distribution Statistics Estimation theory Computer vision
594	Bayesian Nonparametric Poisson Factorization for Recommendation Systems Prem Gopalan Princeton University Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2014-03-17 12:44:23 Variational Bayesian methods Mixture model Poisson distribution Collaborative filtering Dirichlet process Bayesian inference Recommender system Gamma distribution Markov chain Statistics Bayesian statistics Expectation–maximization algorithm
595	Hierarchical relational models for document networks Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:52 Latent Dirichlet allocation Mixture model Expectation–maximization algorithm Topic model Markov chain Probit model Statistics Machine learning Statistical natural language processing
596	82 References Bock, R. D., & Aitkin, M[removed]Marginal maximum likelihood estimation of item parameters: An application of an EM algorithm. Psychometrika, 46, 443–459. Burket, G. R[removed]PARDUX [Computer program] Add to Reading List Source URL: www.marylandpublicschools.org Language: English - Date: 2013-08-22 16:22:42 Polytomous Rasch model Expectation–maximization algorithm Maximum likelihood Anton Formann Nambury S. Raju Statistics Psychometrics Estimation theory
597	What’s New in Econometrics? Lecture 12 Missing Data Jeff Wooldridge NBER Summer Institute, [removed]When Can Missing Data be Ignored? Add to Reading List Source URL: www.nber.org Language: English - Date: 2007-07-30 09:57:49 M-estimators Statistical theory Analysis of variance Fixed effects model Linear least squares Covariance Maximum likelihood Expectation–maximization algorithm Linear differential equation Statistics Estimation theory Regression analysis
598	A Discriminative Latent Variable Model for Online Clustering Rajhans Samdani, Google Research Kai-Wei Chang, University of Illinois Dan Roth, University of Illinois Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Data analysis Data mining Geostatistics Correlation clustering Expectation–maximization algorithm Document clustering Machine learning Statistics Multivariate statistics Cluster analysis
599	Variational Inference for the Nested Chinese Restaurant Process Chong Wang Computer Science Department Princeton University Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Variational Bayesian methods Statistical models Expectation–maximization algorithm Dirichlet process Gibbs sampling Mixture model Bayesian inference Exponential family Kullback–Leibler divergence Statistics Bayesian statistics Statistical theory
600	Cluster Analysis for Cognitive Diagnosis by Chia-Yi Chiu Cluster Analysis for Cognitive Diagnosis: An Application to the 2001 PIRLS Reading Assessment Chia-Yi Chiu, Rutgers, The State University of New Jersey, chia-yi.c Add to Reading List Source URL: www.iea.nl Language: English - Date: 2011-08-10 09:26:30 Machine learning Data mining Geostatistics K-means clustering Hierarchical clustering Complete-linkage clustering Single-linkage clustering Item response theory Expectation–maximization algorithm Statistics Psychometrics Cluster analysis

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