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Discriminative model
Results: 122

#	Item
51	Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma Aydın Ula¸s1, , Peter J. Sch¨ uﬄer2 , Manuele Bicego1, 1 Umberto Castellani , and Vittorio Murino1,3 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:01 Probabilistic latent semantic analysis Machine learning Latent Dirichlet allocation Generative model Generative Histogram Document-term matrix Focus Atomic nucleus Statistics Statistical natural language processing Categorical data
52	3400 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 51, NO. 6, JUNE 2013 Classification of Seismic Volcanic Signals Using Hidden-Markov-Model-Based Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2014-05-20 05:48:55 Generative model Hidden Markov model Speech recognition Pattern recognition Lawrence Rabiner Discriminative model Naive Bayes classifier Embedding Probabilistic latent semantic analysis Statistics Machine learning Probability and statistics
53	Proceedings of 2010 IEEE 17th International Conference on Image Processing September 26-29, 2010, Hong Kong COMBINING FREE ENERGY SCORE SPACES WITH INFORMATION THEORETIC KERNELS: APPLICATION TO SCENE CLASSIFICATION Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:00 Categorical data Probabilistic latent semantic analysis Statistical natural language processing Discriminative model Support vector machine Expectation–maximization algorithm Kullback–Leibler divergence Kernel Pattern recognition Statistics Machine learning Statistical classification
54	Component-based discriminative classification for hidden Markov models Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 18:01:45 Markov models Linear classifier Hidden Markov model Perceptron Pattern recognition Feature scaling Support vector machine Speech recognition Fisher kernel Statistics Machine learning Statistical classification
55	Multiple Instance Learning by Discriminative Training of Markov Networks Hossein Hajimirsadeghi, Jinling Li, Greg Mori School of Computing Science Simon Fraser University Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2013-06-02 01:39:54 Support vector machine Multiple-instance learning Pattern recognition Statistical classification Hidden Markov model Machine learning Statistics Artificial intelligence
56	MULTI-CONCEPT LEARNING WITH LARGE-SCALE MULTIMEDIA LEXICONS Lexing Xie† , Rong Yan† , Jun Yang‡ ∗ † IBM T. J. Watson Research Center, ‡ Carnegie Mellon University Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-01-11 00:40:08 Generative model Naive Bayes classifier Training set Pattern recognition Concept learning Lexicon TRECVID Support vector machine Machine learning Statistics Discriminative model
57	Discriminative Mixtures of Sparse Latent Fields for Risk Management Felix V. Agakov Pharmatics Ltd, Edinburgh, UK [removed] Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-04-26 12:49:45 Markov models Bayesian statistics Categorical data Expectation–maximization algorithm Mixture model Hidden Markov model Latent class model Bayesian network Cluster analysis Statistics Statistical models Machine learning
58	1 An Introduction to Conditional Random Fields for Relational Learning Charles Sutton Department of Computer Science University of Massachusetts, USA Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2006-03-28 16:38:13 Statistical models Regression analysis Graphical models Conditional random field Discriminative model Naive Bayes classifier Hidden Markov model Generative model Multinomial logit Statistics Machine learning Bayesian statistics
59	DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification Simon Lacoste-Julien Computer Science Division UC Berkeley Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2009-01-10 00:13:43 Statistical classification Statistical models Information retrieval Latent Dirichlet allocation Linear discriminant analysis Probabilistic latent semantic analysis Mixture model Topic model Maximum likelihood Statistics Statistical natural language processing Machine learning
60	Discriminative Probabilistic Models for Relational Data Ben Taskar Computer Science Dept. Stanford University Stanford, CA 94305 Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-10-04 19:14:15 Graphical models Probability and statistics Bayesian statistics Probability Theoretical computer science Generative model Markov random field Pattern recognition Bayesian network Machine learning Statistics Statistical models

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