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Expectation–maximization algorithm
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821	INCREMENTAL ADAPTATION USING BAYESIAN INFERENCE K. Yu and M.J.F. Gales Engineering Department, Cambridge University Trumpington St. Cambridge, CB2 1PZ, U.K. {ky219,mjfg}@eng.cam.ac.uk ABSTRACT Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2006-02-23 06:08:00 Estimation theory Statistical inference Expectation–maximization algorithm Missing data Maximum likelihood Bayesian inference Normal distribution Bayesian network Sufficient statistic Statistics Statistical theory Bayesian statistics
822	Department of Engineering 1 A variational perspective on 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 11:19:17 Kullback–Leibler divergence Thermodynamics Markov models Maximum likelihood Normal distribution Mixture model Hidden Markov model Divergence Expectation–maximization algorithm Statistics Statistical theory Estimation theory
823	BAYESIAN DISCRIMINATIVE ADAPTATION FOR SPEECH RECOGNITION C. K. Raut and M. J. F. Gales Cambridge University Engineering Department Trumpington St., Cambridge CB2 1PZ, U.K. {ckr21,mjfg}@eng.cam.ac.uk Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2009-07-21 11:45:17 Statistical theory Automatic identification and data capture Computer accessibility Speech recognition Point estimation Hidden Markov model Maximum a posteriori estimation Maximum likelihood Expectation–maximization algorithm Statistics Estimation theory Statistical inference
824	Discriminative Complexity Control and Linear Projections for Large Vocabulary Speech Recognition Xunying Liu Clare Hall Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2007-11-16 07:14:53 Statistical classification Computer accessibility Speech recognition Hidden Markov model Linear discriminant analysis Discriminative model Expectation–maximization algorithm Bayesian information criterion Normal distribution Statistics Estimation theory Machine learning
825	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: 2013-03-25 11:19:16 Statistical models Kullback–Leibler divergence Thermodynamics Maximum likelihood Normal distribution Hidden Markov model Mixture model Divergence Expectation–maximization algorithm Statistics Statistical theory Estimation theory
826	Adaptive Training for Large Vocabulary Continuous Speech Recognition Kai Yu Hughes Hall College Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2007-11-16 07:23:54 Statistical models Estimation theory Bayesian statistics Hidden Markov model Speech recognition Expectation–maximization algorithm Bayesian network Variational Bayesian methods Mixture model Statistics Machine learning Markov models
827	Linear Models with Julia (Scratching the Surface...) Shane Conway ([removed]) May 1, 2012 Add to Reading List Source URL: files.meetup.com Language: English - Date: 2012-05-02 11:59:46 Least squares Parametric statistics Econometrics Linear least squares Ordinary least squares Linear regression Expectation–maximization algorithm Fisher information Statistics Regression analysis Estimation theory
828	✬ Missing data, MI and software ✩ Add to Reading List Source URL: www.academyhealth.org Language: English - Date: 2007-06-04 06:38:00 Imputation Expectation–maximization algorithm MLwiN Database Estimation theory Statistics Data analysis Missing data
829	Scientific Excellence· Resource Protection & Conservation • Benefits for Canadians Excellence scientifique • Protection et conservation des ressources • Benefices aux Canadiens A Versatile Computer Program for Add to Reading List Source URL: publications.gc.ca Language: English - Date: 2012-04-23 14:46:16 Bootstrapping Resampling Maximum likelihood Estimator Normal distribution Expectation–maximization algorithm Statistics Statistical inference Estimation theory
830	A conjugate prior for discrete hierarchical log-linear models Add to Reading List Source URL: www.math.yorku.ca Language: English - Date: 2009-09-21 16:08:38 Estimation theory Conjugate prior Exponential family Entailment Log-linear model Maximum likelihood Expectation–maximization algorithm Statistics Logic Bayesian statistics

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