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Mixture model
Results: 969

#	Item
831	Infinite Support Vector Machines in Speech Recognition Jingzhou Yang, Rogier C. van Dalen and Mark Gales Department of Engineering, University of Cambridge Trumpington Street, Cambridge, CB2 1PZ, UK {jy308,rcv25,mjfg}@en Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-08-11 09:41:23 Stochastic processes Statistical classification Statistical theory Parametric model Mixture model Dirichlet process Hidden Markov model Support vector machine Pattern recognition Statistics Statistical models Machine learning
832	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
833	Model-Based Approaches to Handling Uncertainty M.J.F. Gales Abstract A powerful approach for handling uncertainty in observations is to modify the statistical model of the data to appropriately reflect this uncertainty. Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2012-02-10 06:33:37 Statistical inference Markov models Statistical models Multivariate normal distribution Speech recognition Hidden Markov model Additive white Gaussian noise Mixture model Linear regression Statistics Estimation theory Regression analysis
834	Infinite Support Vector Machines in Speech Recognition Jingzhou Yang, Rogier C. van Dalen and Mark Gales Department of Engineering, University of Cambridge Trumpington Street, Cambridge, CB2 1PZ, UK {jy308,rcv25,mjfg}@en Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-06-13 07:07:00 Stochastic processes Statistical classification Statistical theory Parametric model Mixture model Dirichlet process Hidden Markov model Support vector machine Pattern recognition Statistics Statistical models Machine learning
835	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
836	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
837	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
838	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
839	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
840	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

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