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Generative science
Results: 331

#	Item
81	Topic Significance Ranking of LDA Generative Models Loulwah AlSumait1 Daniel Barbar´a1 James Gentle2 Carlotta Domeniconi1 1 Department of Computer Science, George Mason University, Fairfax VA 22030, Add to Reading List Source URL: cs.gmu.edu Language: English - Date: 2010-01-05 19:15:39
82	Discriminative Random Fields: A Discriminative Framework for Contextual Interaction in Classification Sanjiv Kumar and Martial Hebert The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA, {skumar, Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:49:35 Theoretical computer science Probability Graphical models Statistical models Bayesian statistics Conditional random field Discriminative model Generative model Markov random field Statistics Machine learning Probability and statistics
83	Microsoft Word - CoCo Seminar Series flyer Fall 2011.doc Add to Reading List Source URL: coco.binghamton.edu Language: English - Date: 2015-01-26 14:41:29 Models of computation Scientific modeling Science Agent-based model Complex systems Coco Generative Structure Systems science Complex systems theory Systems theory Multi-agent systems
84	The cultural evolution of functional morphology in an Iterated Learning experiment Carmen Saldana, Simon Kirby and Kenny Smith Language Evolution and Computation Research Unit, The University of Edinburgh Keywords: Cultu Add to Reading List Source URL: www.mis.mpg.de Language: English - Date: 2015-03-18 04:26:18 Science Semiotics Books by Noam Chomsky Grammar Syntax Language Syntactic Structures Evolutionary linguistics Origin of language Linguistics Academia Generative linguistics
85	CoCo Seminar Series Fall 2014 Uncovering the Underlying Dynamics of Real World Temporal Network Data Using Generative Network Automata Add to Reading List Source URL: coco.binghamton.edu Language: English - Date: 2015-01-26 14:41:31 Network science Trie Network dynamics Neural network Knowledge Structure Networks Science Agent-based model
86	Learning Generative Models with Visual Attention Yichuan Tang, Nitish Srivastava, Ruslan Salakhutdinov Department of Computer Science University of Toronto Toronto, Ontario, Canada Add to Reading List Source URL: www.cs.toronto.edu - Date: 2014-10-31 19:27:52
87	How a Generative Encoding Fares as Problem-Regularity Decreases Jeff Clune1, Charles Ofria1, and Robert T. Pennock1,2 Department of Computer Science and Engineering, Department of Philosophy & Lyman Briggs College Michig Add to Reading List Source URL: www.ofria.com Language: English - Date: 2013-02-07 15:35:35
88	Analysis-by-Synthesis by Learning to Invert Generative Black Boxes Vinod Nair, Josh Susskind, and Geoffrey E. Hinton Department of Computer Science University of Toronto, Toronto, Ontario, Canada Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2009-01-11 17:49:24
89	R Foundations and Trends in Machine Learning Vol. 4, No–373 c 2012 C. Sutton and A. McCallum Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-08-27 13:34:18 Probability Machine learning Statistical models Bayesian statistics Theoretical computer science Conditional random field Hidden Markov model Discriminative model Generative model Statistics Probability and statistics Graphical models
90	A Bayesian approach to network modularity • Generative model: die rolling for module assignments, coin-flipping for edges • Inference: variational Bayes for approximations to posteriors + complexity control • Stoch Add to Reading List Source URL: www.jakehofman.com Language: English - Date: 2009-01-22 17:20:55 Logic Network theory Modularity Conference on Neural Information Processing Systems Inference Variational Bayesian methods Bayesian statistics Knowledge Science