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Generative model
Results: 219

#	Item
121	Modelling motion primitives and their timing in biologically executed movements Marc Toussaint TU Berlin Franklinstr[removed], FR 6-9 Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-04-27 09:41:21 Bioinformatics Hidden Markov model Markov chain Geometric primitive Generative model Expectation–maximization algorithm Statistics Probability and statistics Markov models
122	Generative Models of Noisy Translations with Applications to Parallel Fragment Extraction Chris Quirk∗ , Raghavendra Udupa U.† , Arul Menezes∗ ∗ Microsoft Research Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-07-21 20:53:58 Statistical natural language processing Machine translation Computational linguistics Natural language processing Statistical machine translation Generative model Language model Markov chain Bitext word alignment Probability Markov models Statistics
123	i i “articoli/lettieriParisi” — — 14:54 — page 131 — #131 Add to Reading List Source URL: www.ittig.cnr.it Language: English - Date: 2014-03-07 06:25:51 Scientific modeling Knowledge Ethology Simulation Multi-agent systems Agent-based model Social simulation Generative science Computational model Science Complex systems theory Models of computation
124	Success Story Gothaer Versicherungen, IDG Informationsverarbeitung und Dienstleistungen GmbH, b+m Gothaer Versicherungen bases its insurance quotation software on the b+m Generative Development Process and the b+m Archit Add to Reading List Source URL: www.omg.org Language: English - Date: 2013-12-16 17:26:08 Software architecture Model–view–controller
125	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
126	Chromatin immunoprecipitation and high-density tiling microarrays: a generative model, methods for analysis, and methodology assessment in the absence of a “gold standard” by Richard Walter Bourgon Add to Reading List Source URL: www.ebi.ac.uk Language: English - Date: 2006-12-14 12:30:37 Protein methods Microarrays Molecular biology Bioinformatics Protein-protein interaction assays ChIP-on-chip Tiling array Chromatin immunoprecipitation Immunoprecipitation Biology Biochemistry Laboratory techniques
127	3 Semi-Supervised Text Classification Using EM Kamal Nigam Andrew McCallum Tom Mitchell Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-03-07 20:47:10 Supervised learning Naive Bayes classifier Co-training Mixture model Document classification Generative model Expectation–maximization algorithm Statistical classification Maximum likelihood Statistics Machine learning Semi-supervised learning
128	In Proceedings of the Seventeenth National Conference on Artificial Intelligence (AAAI-00), pages[removed], Austin, Texas, August[removed]Restricted Bayes Optimal Classifiers Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-10-03 21:16:12 Naive Bayes classifier Margin classifier Decision boundary Bayesian inference Generative model Density estimation Estimation theory Linear classifier Book:Machine Learning - The Complete Guide Statistics Statistical classification Support vector machine
129	Effects of generative and discriminative learning on use of category variability Anne S. Hsu ([removed]) Department of Cognitive, Perceptual and Brain Sciences, University College London, London, UK Thomas L. Add to Reading List Source URL: ahsu.psychol.ucl.ac.uk Language: English - Date: 2012-01-09 14:24:48 Artificial intelligence Learning Generative model Discriminative model Pattern recognition Graphical model Language acquisition Bag of words model in computer vision Linear classifier Machine learning Statistics Statistical models
130	Log-Linear Approach to Discriminative Training NIPS 2008 Workshop “Speech and Language: Learning-based Methods and Systems” Ralf Schl¨ uter, Georg Heigold, and Hermann Ney Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-01-03 02:48:23 Discriminative model Generative model Expectation–maximization algorithm Pattern recognition Conditional random field Speech recognition Log-linear model Hidden Markov model Maximum likelihood Statistics Machine learning Probability and statistics

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