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Generative model
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11	• Some slides on Paul and Dredze, 2012. Discovering Health Topics in Social Media Using Topic Models. PLOS ONE. Add to Reading List Source URL: people.cs.umass.edu Language: English - Date: 2015-02-11 14:02:11 Software Digital media Computing Statistical natural language processing Health websites Medical websites WebMD Machine learning Influenza Topic model Generative model Twitter
12	Variational Bayesian Learning of Cooperative Vector Quantizer Model - The Theory Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2003-05-06 15:46:12 Statistics Statistical models Bayesian network Latent variable Variational Bayesian methods Independent component analysis Expectationmaximization algorithm Generative model Principal component analysis Bayesian inference Normal distribution Mixture model
13	FABIA: Factor Analysis for Bicluster Acquisition Sepp Hochreiter, Ulrich Bodenhofer, Martin Heusel, Andreas Mayr, Andreas Mitterecker, Adetayo Kasim, Tatsiana Khamiakova, Suzy Van Sanden, Dan Lin, Willem Talloen, Luc Bij Add to Reading List Source URL: www.iscb.org Language: English - Date: 2010-03-19 13:19:45 Bioinformatics Artificial intelligence Academia Computational biology Sepp Hochreiter Biclustering Biology Microarrays Affymetrix Generative model
14	Univ. of Pittsburgh Conditional Random Fields Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2014-10-25 10:56:22 Graphical models Machine learning Statistical models Learning Artificial intelligence Statistics Conditional random field Generative model Markov random field Discriminative model Bayesian network Factor graph
15	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Coupled Generative Adversarial Nets Liu, M.-Y.; Tuzel, O. TR2016-070 Add to Reading List Source URL: www.merl.com Language: English - Date: 2016-07-29 10:32:17 Machine learning Artificial intelligence Statistical models Learning Computational neuroscience Statistics Artificial neural networks Discriminative model Generative model Convolutional neural network Supervised learning MNIST database
16	Sentence Comprehension as Mental Simulation: An Information-Theoretic Perspective Add to Reading List Source URL: www.stefanfrank.info Language: English - Date: 2012-03-11 05:07:35 Grammar Linguistics Cognitive science Psycholinguistics Cognition Natural language processing Generative linguistics Sentence processing Argument Language model Natural language understanding Semantics
17	Generative Agents for Player Decision Modeling in Games Christoffer Holmgård, Antonios Liapis, Julian Togelius Georgios N. Yannakakis Center for Computer Games Research Add to Reading List Source URL: antoniosliapis.com Language: English - Date: 2014-12-01 05:20:34 Gaming Software Classes of computers Artificial intelligence Formal sciences Simulation ZX Spectrum games Role-playing video games Agent-based model Intelligent agent Game theory Decision theory
18	Cognitive Science–1028 Copyright © 2005 Cognitive Science Society, Inc. All rights reserved. Uncovering the Richness of the Stimulus: Structure Dependence and Indirect Statistical Evidence Florencia Rea Add to Reading List Source URL: cnl.psych.cornell.edu Language: English - Date: 2006-01-31 17:20:54 Linguistics Cognitive science Cognition Grammar Generative linguistics Syntax Natural language processing Poverty of the stimulus N-gram Language model Bigram Linguistic competence
19	Solving the UG Problem Denis Bouchard Once we have proposed a model of linguistic competence, we have to provide a convincing scenario about the way children come to master a system as complex as language. For some 50 ye Add to Reading List Source URL: www.bioling.jp Language: English - Date: 2012-01-11 11:34:05 Linguistics Cognitive science Cognition Generative linguistics Noam Chomsky Psycholinguistics Language acquisition Poverty of the stimulus Generative Proposition Linguistic competence UG
20	1 Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models Zhuowen Tu, Katherine L. Narr, Piotr Doll´ar, Ivo Dinov, Paul M. Thompson, and Arthur W. Toga Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2007-08-09 13:56:19 Artificial intelligence Machine learning Learning Graphical models Image segmentation Discriminative model Principal component analysis Conditional random field AdaBoost Functional magnetic resonance imaging Markov random field Bag-of-words model in computer vision

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