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Mixture theory
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361	Optimal Feature Spaces for Noise-Robust Speech Recognition rogier c. van dalen Girton College University of Cambridge Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-03-25 11:19:13 Estimation theory Regression analysis Econometrics Statistical models Markov chain Hidden Markov model Linear regression Maximum likelihood Mixture model Statistics Probability and statistics Markov models
362	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
363	Transforming Features to Compensate Speech Recogniser Models for Noise R. C. van Dalen, F. Flego, M. J. F. Gales Cambridge University Engineering Department, United Kingdom {rcv25,ff257,mfjg}@eng.cam.ac.uk Abstract Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-03-25 11:19:13 Kullback–Leibler divergence Statistical theory Thermodynamics Estimation theory Speech enhancement Speech recognition Cross entropy Mixture model Linear regression Statistics Signal processing Fourier analysis
364	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
365	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
366	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
367	PDF Document Add to Reading List Source URL: www.federalreserve.gov Language: English - Date: 2001-04-26 14:27:19 Actuarial science Mathematical sciences Value at risk Vector autoregression Fat-tailed distribution Risk Volatility Mixture model Estimation theory Statistics Financial risk Mathematical finance
368	Maximum likelihood estimation of factor models on data sets with arbitrary pattern of missing data Add to Reading List Source URL: www.ecb.europa.eu Language: English - Date: 2010-05-20 08:35:30 Statistical models Economic forecasting Nowcasting Statistical forecasting Expectation–maximization algorithm Mixture model Forecasting Principal component analysis Maximum likelihood Statistics Data analysis Estimation theory
369	GENERALISED MIXTURE ESTIMATION AND UNSUPERVISED CLASSIFICATION BASED ON HIDDEN MARKOV CHAINS AND HIDDEN MARKOV RANDOM FIELDS Roger Fjørtoft, Wojciech Pieczynski and Yves Delignon [removed], Norwegian Computin Add to Reading List Source URL: publications.nr.no Language: English - Date: 2011-02-11 06:14:53 Artificial intelligence Machine learning Signal processing Maximum a posteriori estimation Expectation–maximization algorithm Pattern recognition Markov chain Markov random field Segmentation Statistics Estimation theory Markov models
370	CoBaFi — Collaborative Bayesian Filtering Alex Beutel Kenton Murray Carnegie Mellon University Add to Reading List Source URL: alexbeutel.com Language: English - Date: 2014-02-02 23:19:35 Statistical inference Collective intelligence Recommender system Statistical theory Collaborative filtering Normal distribution Netflix Confidence interval Mixture model Statistics Statistical models Machine learning

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