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Discriminative model
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#	Item
41	Mach Learn DOIs10994Statistical topic models for multi-label document classification Timothy N. Rubin · America Chambers · Add to Reading List Source URL: psiexp.ss.uci.edu Language: English - Date: 2012-01-01 14:24:17 Computational statistics Multi-label classification Latent Dirichlet allocation Automatic summarization Document classification Support vector machine Discriminative model Naive Bayes classifier Statistical classification Machine learning Statistics Artificial intelligence
42	STRUCTURALLY DISCRIMINATIVE GRAPHICAL MODELS FOR AUTOMATIC SPEECH RECOGNITION – RESULTS FROM THE 2001 JOHNS HOPKINS SUMMER WORKSHOP Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2005-03-03 12:04:50 Graphical models Networks Machine learning Bayesian network Speech recognition Mutual information Expectation–maximization algorithm Hidden Markov model Generative model Statistics Statistical models Bayesian statistics
43	DISCRIMINATIVE DURATION MODELING FOR SPEECH RECOGNITION WITH SEGMENTAL CONDITIONAL RANDOM FIELDS Justine T. Kao Stanford University Symbolic Systems Program Stanford, CA 94309, USA Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2011-01-24 14:48:35 Computer accessibility Speech recognition Bond duration Hidden Markov model Humanâ€“computer interaction Science Software Computational linguistics Markov models Automatic identification and data capture
44	DISCRIMINATIVE TRAINING OF DECODING GRAPHS FOR LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION Hong-Kwang Jeff Kuo, Brian Kingsbury Geoffrey Zweig Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2006-09-29 19:52:14 Applied mathematics Automatic identification and data capture Computer accessibility Speech recognition Science Graph Perceptron Conditional random field Hidden Markov model Computational linguistics Mathematics Neural networks
45	The Classification Problem Seven Lectures on Statistical Parsing Christopher Manning LSA Linguistic Institute 2007 LSA 354 Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2007-08-06 23:23:55 Probability and statistics Generative model Discriminative model Statistical parsing Parsing Bottom-up parsing Linear classifier Machine learning Statistics Artificial intelligence
46	Discriminative Unsupervised Learning of Structured Predictors Linli Xu Dana Wilkinson Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2006-05-10 00:01:14 Statistics Hidden Markov model Conditional random field Support vector machine Supervised learning Discriminative model Convex optimization Semi-supervised learning Markov random field Machine learning Mathematics Algebra
47	Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields Chi-Hoon Lee Department of Computing Science University of Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2007-06-19 18:08:48 Artificial intelligence Supervised learning Semi-supervised learning Transduction Co-training Segmentation Conditional random field Generative model Information theory Machine learning Statistics Computational statistics
48	Appeared in IEEE Conference on Computer Vision and Pattern Recognition (CVPRMulti-View Latent Variable Discriminative Models For Action Recognition Yale Song1 , Louis-Philippe Morency2 , Randall Davis1 1 MIT Com Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2015-01-28 16:02:14 Theoretical computer science Statistical models Bioinformatics Hidden Markov model Markov chain Exponential distribution Economic model Conditional random field Graphical model Statistics Markov models Probability and statistics
49	Discriminatively Trained Markov Model for Sequence Classification Oksana Yakhnenko, Adrian Silvescu, Vasant Honavar Artificial Intelligence Research Laboratory Center for Computational Intelligence Learning and Discovery Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2005-10-29 21:29:16 Graphical models Bayesian statistics Statistical models Generative model Naive Bayes classifier Support vector machine Discriminative model Cross-validation Markov random field Statistics Machine learning Statistical classification
50	Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models Andr´e F.T. Martins3 , Manuele Bicego1,2, Vittorio Murino1,2 , Pedro M.Q. Aguiar4 , and M´ ario A.T. Figueiredo3 1 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:01 Category theory Fisher kernel Information retrieval Markov models Hidden Markov model Generative model Kernel Pattern recognition Discriminative model Statistics Machine learning Statistical classification

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