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Expectation–maximization algorithm
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811	Cleaning and using administrative lists: Methods and fast computational algorithms for record linkage and modeling/editing/imputation Add to Reading List Source URL: www.ine.es Language: English - Date: 2011-10-24 10:34:12 Data management Estimation theory Statistical inference Imputation Record linkage Resampling Synthetic data Linear regression Expectation–maximization algorithm Statistics Data analysis Missing data
812	N EWS AND N OTES 166 Changes on CRAN[removed]to[removed] Add to Reading List Source URL: journal.r-project.org Language: English - Date: 2014-07-27 19:20:02 Econometrics Statistical theory Non-parametric statistics Linear regression Predictive analytics Statistical inference Expectation–maximization algorithm Maximum likelihood Meta-analysis Statistics Estimation theory Regression analysis
813	IEEE TRANS. ON SAP, VOL. ?, NO. ??, ????? [removed]Bayesian Adaptive Inference and Adaptive Training Kai Yu and Mark J. F. Gales Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2007-10-10 11:14:12 Statistical theory Statistical inference Expectation–maximization algorithm Variational Bayesian methods Empirical Bayes method Maximum likelihood Bayesian inference Confidence interval Marginal likelihood Statistics Bayesian statistics Estimation theory
814	Department of Engineering 1 Extended vts for noise-robust speech recognition R. C. van Dalen Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-03-25 11:19:13 Computer accessibility Speech recognition Expectation–maximization algorithm Multivariate normal distribution Covariance Cross-covariance Statistics Covariance and correlation Automatic identification and data capture
815	Linear Gaussian Models for Speech Recognition Antti-Veikko Ilmari Rosti Wolfson College May 2004 Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2007-11-16 07:17:08 Hidden Markov model Kalman filter Markov chain Mixture model Expectation–maximization algorithm Maximum likelihood Generalized method of moments Dynamical system Matrix Statistics Markov models Estimation theory
816	Kernel Methods for Text-Independent Speaker Verification Chris Longworth Cambridge University Engineering Department and Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2010-02-25 03:54:38 Statistical theory Non-parametric statistics Kernel Support vector machine Multivariate normal distribution Expectation–maximization algorithm Normal distribution Kullback–Leibler divergence Maximum likelihood Statistics Statistical classification Estimation theory
817	Augmented Statistical Models for Classifying Sequence Data Martin Layton Corpus Christi College University of Cambridge Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2008-01-16 04:35:17 Statistical classification Machine learning Markov models Hidden Markov model Fisher kernel Generative model Expectation–maximization algorithm Mixture model Maximum likelihood Statistics Estimation theory Statistical models
818	A Variational Perspective on Noise-Robust Speech Recognition R. C. van Dalen, M. J. F. Gales Department of Engineering, Cambridge University Cambridge, UK {rcv25,mjfg}@eng.cam.ac.uk Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2012-01-19 12:35:56 Statistical models Kullback–Leibler divergence Thermodynamics Maximum likelihood Normal distribution Hidden Markov model Mixture model Divergence Expectation–maximization algorithm Statistics Statistical theory Estimation theory
819	Discriminative Adaptive Training and Bayesian Inference for Speech Recognition Chandra Kant Raut University of Cambridge Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2010-06-10 04:22:31 Machine learning Statistical models Statistical theory Hidden Markov model Speech recognition Expectation–maximization algorithm Maximum likelihood Bayesian network Variational Bayesian methods Statistics Estimation theory Bayesian statistics
820	Office of Population Research Princeton University WORKING PAPER SERIES Outlier Detection and Editing Procedures for Continuous Multivariate Data Add to Reading List Source URL: 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

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