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Generative model
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#	Item
161	Psychological Review 2010, Vol. 117, No. 1, 197–209 © 2010 American Psychological Association 0033-295X/10/$12.00 DOI: [removed]a0017808 Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:53 Behaviorism Philosophy of mind Classical conditioning Rescorla–Wagner model Extinction Latent inhibition Reinforcement Language acquisition Generative model Behavior Learning Mind
162	Agent-Based Computational Models And Generative Social Science JOSHUA M. EPSTEIN Economic Studies, Brookings Institution, Washington, D.C., 20036, USA External Faculty, Santa Fe Institute, Santa Fe, NM, 87501, USA e-mail Add to Reading List Source URL: www-users.cs.umn.edu Language: English - Date: 2009-11-03 11:21:54 Complex systems theory Models of computation Mathematical economics Agent-based model Scientific modeling Artificial society Generative science Joshua M. Epstein Macroeconomic model Science Knowledge Ethology
163	Discriminative Training of Hyper-feature Models for Object Identification∗ Vidit Jain1 , Andras Ferencz2 and Erik Learned-Miller1 1 University of Massachusetts Amherst, Amherst MA USA 2 MobilEye Vision Technologies, Ha Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:20 Generative model Supervised learning Linear classifier Discriminative model Mutual information Naive Bayes classifier Linear regression Regression analysis Cross-validation Statistics Machine learning Pattern recognition
164	Theorizing and Strategizing with Models: Generative Models of Social Enterprises forthcoming in: International Journal of Entrepreneurial Venturing, Vol[removed]Christian Seelos Visiting Scholar, Stanford Center o Add to Reading List Source URL: pacscenter.stanford.edu Language: English - Date: 2012-07-27 20:47:18 Management Strategic management Business model Economic model Scientific modelling Conceptual model Macroeconomic model Ethology Philosophy of mind Cognition
165	Improved Generative Models for Continuous Image Features through Tree-structured Non-parametric Distributions Marwan A. Mattar Erik G. Learned-Miller Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:35 Statistical inference Statistical theory Machine learning Kullback–Leibler divergence Naive Bayes classifier Bayesian network Mixture model Maximum likelihood Normal distribution Statistics Statistical models Bayesian statistics
166	Generative Models for Networks and Applications to E-Commerce Patrick J. Wolfe (with David C. Parkes and R. Kang-Xing Jin) Division of Engineering and Applied Sciences Department of Statistics Harvard University Add to Reading List Source URL: www.eecs.harvard.edu Language: English - Date: 2006-10-30 14:35:56 Networks Commerce Game theory EBay Auction Modularity Online auction business model Bid Community structure Auctioneering Business Auction theory
167	The Shape-Time Random Field for Semantic Video Labeling Andrew Kae, Benjamin Marlin, Erik Learned-Miller School of Computer Science University of Massachusetts, Amherst MA, USA {akae,marlin,elm}@cs.umass.edu Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2014-05-13 10:40:23 Statistical models Probability and statistics Conditional random field Theoretical computer science Boltzmann machine Applied mathematics Generative model Ludwig Boltzmann Segmentation Machine learning Graphical models Statistics
168	A Generative Constituent-Context Model for Improved Grammar Induction Dan Klein and Christopher D. Manning Computer Science Department Stanford University Stanford, CA[removed] {klein, manning}@cs.stanford.edu Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2004-08-12 21:03:31 Corpus linguistics Computational linguistics Generative linguistics Compiler construction Treebank Part-of-speech tagging Parsing Stochastic context-free grammar Dependency grammar Linguistics Natural language processing Formal languages
169	Discriminative versus Generative Parameter and Structure Learning of Bayesian Network Classifiers Franz Pernkopf PERNKOPF @ TUGRAZ . AT Department of Electrical Engineering, Graz University of Technology, Inffeldgasse 16 Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:47 Statistical models Statistical classification Naive Bayes classifier Generative model Bayesian network Pattern recognition Discriminative model Random naive Bayes Linear classifier Statistics Machine learning Bayesian statistics
170	Factored Conditional Restricted Boltzmann Machines for Modeling Motion Style Graham W. Taylor GWTAYLOR @ CS . TORONTO . EDU Geoffrey E. Hinton Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:17:00 Probability and statistics Neural networks Machine learning Boltzmann machine Generative model Graphical model Hidden Markov model Bayesian network Ludwig Boltzmann Statistical models Statistics Bayesian statistics

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