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Generative model
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#	Item
131	Sampling assumptions in language learning 1 Running head: SAMPLING ASSUMPTIONS IN LANGUAGE LEARNING Sampling assumptions affect use of indirect negative evidence in language learning Add to Reading List Source URL: ahsu.psychol.ucl.ac.uk Language: English - Date: 2012-01-09 14:25:46 Generative linguistics Language Philosophy of language Generative model Syntax Discriminative model Language acquisition Grammaticality Generative Linguistics Machine learning Grammar
132	LIFE GIVING CORPORATIONS TO SUPPORT COMMUNITY What’s Possible? 2014 National Native Title Conference Paper By Michael Meegan and Michael Prince “Most of the great political struggles of the past 5,000 years Add to Reading List Source URL: www.marjoriekelly.com Language: English - Date: 2014-10-21 09:59:34 Anthropology Generative Design Generative model Socialism Culture Ownership Cooperative Structure Sociology Design
133	languagelearn_latexfinal2.dvi Add to Reading List Source URL: ahsu.psychol.ucl.ac.uk Language: English - Date: 2012-01-09 14:24:47 Noam Chomsky Psycholinguistics Syntax Poverty of the stimulus Minimalist program Verb Generative model Grammaticality Linguistics Generative linguistics Grammar
134	Stochastic Backpropagation and Approximate Inference in Deep Generative Models arXiv:1401.4082v3 [stat.ML] 30 May[removed]Danilo J. Rezende, Shakir Mohamed, Daan Wierstra Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-06-01 20:20:02 Bayesian statistics Machine learning Statistical theory Variational Bayesian methods Backpropagation Gaussian process Bayesian network Perceptron Generative model Statistics Neural networks Statistical models
135	Cranking: Combining Rankings Using Conditional Probability Models on Permutations Guy Lebanon John Lafferty School of Computer Science, Carnegie Mellon University, Pittsburgh, PA[removed]USA Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2009-09-04 13:43:12 Statistical models Bayesian statistics Statistical theory Generative model Maximum likelihood Likelihood function Ensemble learning Statistics Estimation theory Machine learning
136	Training Object Detection Models with Weakly Labeled Data Charles Rosenberg and Martial Hebert School of Computer Science Carnegie Mellon University Pittsburgh, PA, USA Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2002-07-12 15:22:50 Statistics Vision Statistical models Image processing Object recognition Supervised learning Pattern recognition Generative model Mixture model Machine learning Artificial intelligence Computer vision
137	Bayesian model learning in human visual perception Gerg˝o Orb´an Collegium Budapest Institute for Advanced Study Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-03-27 13:11:28 Machine learning Bayesian network Generative model Graphical model Bayesian inference Bayes factor Supervised learning Concept learning Prior probability Statistics Bayesian statistics Statistical models
138	September 14, 2014 Generative and Discriminative Learning for Medical Imaging Dr. S. Kevin Zhou Add to Reading List Source URL: stat.fsu.edu Language: English - Date: 2014-09-22 14:48:18 Discriminative model Semantics Parsing Segmentation Voxel Linguistics Learning Artificial intelligence Machine learning Grammar Image processing
139	Structured Relation Discovery using Generative Models Limin Yao∗ Aria Haghighi+ Sebastian Riedel∗ Andrew McCallum∗ ∗ Add to Reading List Source URL: people.cs.umass.edu Language: English - Date: 2011-08-01 22:02:37 Relational model Finitary relation Tuple Relational database Binary relation Entity-relationship model Information extraction Relation Extension Mathematics Mathematical logic Logic
140	Unsupervised Word Alignment with Arbitrary Features Chris Dyer Jonathan Clark Alon Lavie Noah A. Smith Language Technologies Institute Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-04-17 22:20:41 Artificial intelligence Statistical natural language processing Statistics Natural language processing Markov models Bitext word alignment Generative model Statistical machine translation METEOR Machine translation Machine learning Science

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