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Discriminative model
Results: 122

#	Item
101	1 Structured SVMs for Automatic Speech Recognition Shi-Xiong Zhang, Student Member, IEEE and M. J. F. Gales, Fellow, IEEE Abstract—Combining generative and discriminative models Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2012-10-19 07:01:36 Analysis of algorithms Mathematics Maximum likelihood Statistical theory Hidden Markov model Big O notation Structured SVM Science Estimation theory Statistics Support vector machines
102	STRUCTURED DISCRIMINATIVE MODELS FOR NOISE ROBUST CONTINUOUS SPEECH RECOGNITION A. Ragni and M. J. F. Gales Cambridge University Engineering Department Trumpington St., Cambridge, CB2 1PZ, UK {ar527,mjfg}@eng.cam.ac.uk Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2011-03-11 04:23:32 Probability and statistics Science Markov models Statistical models Computer accessibility Speech recognition Generative model Hidden Markov model Discriminative model Machine learning Computational linguistics Statistics
103	IEEE TRANS. ON SAP, VOL. ?, NO. ??, ????? 200? 1 Automatic Model Complexity Control Using Marginalized Discriminative Growth Functions Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2007-10-10 11:13:52 Model selection Speech recognition Markov chain Outlier Regularization Statistics Bayesian inference Bayesian information criterion
104	Derivative Kernels for Noise Robust ASR A. Ragni and M. J. F. Gales Cambridge University Engineering Department Trumpington St., Cambridge CB2 1PZ, U.K. {ar527,mjfg}@eng.cam.ac.uk Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2011-12-20 07:22:29 Computational linguistics Speech recognition Markov models Bioinformatics Hidden Markov model Generative model Discriminative model Conditional random field N-gram Machine learning Statistics Probability
105	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
106	SPECIAL ISSUE ON FUNDAMENTAL TECHNOLOGIES IN MODERN SPEECH RECOGNITION 1 Structured Discriminative Models For Speech Recognition Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2012-10-19 07:08:45 Markov models Computational linguistics Statistical natural language processing Generative model Hidden Markov model Maximum-entropy Markov model Constructible universe Discriminative model Speech recognition Machine learning Probability Statistics
107	Efficient segmental features for speech recognition Rogier van Dalen with Mark Gales and Anton Ragni Google, Mountain View, 23 May 2013 University of Cambridge, Department of Engineering Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2014-03-05 05:44:14 Hidden Markov model Speech recognition Separable space Artificial intelligence Science Humanâ€“computer interaction Machine learning Computational linguistics Discriminative model
108	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
109	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
110	Object Classification by Fusing SVMs and Gaussian Mixtures Thomas Deselaersa,b , Georg Heigoldb , Hermann Neyb a Computer Vision Laboratory, Add to Reading List Source URL: thomas.deselaers.de Language: English - Date: 2012-05-07 14:35:48 Artificial intelligence Learning Support vector machine Discriminative model Pattern recognition Decision boundary Generative model Statistics Machine learning Statistical classification

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