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Generative
Results: 1105

#	Item
811	A comparison between Fluid Construction Grammar and Sign-Based Construction Grammar Remi van Trijp Sony Computer Science Laboratory Paris* Abstract Construction Grammar has reached a stage of maturity where many research Add to Reading List Source URL: www.remivantrijp.be Language: English - Date: 2013-10-01 09:35:51 Semiotics Cognitive science Grammar Construction grammar Fluid construction grammar Head-driven phrase structure grammar Generative grammar Syntax Merge Linguistics Generative linguistics Noam Chomsky
812	PDF Document Add to Reading List Source URL: ai.cs.washington.edu Language: English - Date: 2011-08-19 12:35:31 Parts of speech Semantics Generative linguistics Coordination Preposition and postposition Sentence Predicate Phrase Merge Linguistics Syntax Grammar
813	PDF Document Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Learning Pattern recognition Supervised learning Generative model Object recognition K-nearest neighbor algorithm Statistical classification Discriminative model Segmentation Machine learning Artificial intelligence Statistics
814	1 Rules v. Constraints Background TE Add to Reading List Source URL: media.wiley.com Language: English - Date: 2013-09-30 07:14:44 Formal languages Grammar Books by Noam Chomsky Generative linguistics Cognitive science Phonology Generative grammar The Sound Pattern of English Formal grammar Linguistics Academia Science
815	Discriminative models for speech recognition Anton Ragni Peterhouse University of Cambridge Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2014-04-02 04:45:22 Computational linguistics Generative model Speech recognition Discriminative model Hidden Markov model Estimation theory Linear regression Perceptron Statistics Machine learning Probability and statistics
816	EFFICIENT DECODING WITH GENERATIVE SCORE-SPACES USING THE EXPECTATION SEMIRING Rogier C. van Dalen, Anton Ragni, and Mark J. F. Gales Department of Engineering University of Cambridge Cambridge, United Kingdom Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-03-25 11:19:17 Hidden Markov model Symbol Markov chain Speech recognition Segmentation Probability and statistics Science Markov models Statistics Bioinformatics
817	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
818	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
819	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
820	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

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