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Bayesian network
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#	Item
701	Learning Spatial Context: Using Stuff to Find Things Geremy Heitz Daphne Koller Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2008-07-22 17:29:03 Imaging Object recognition Histogram of oriented gradients Expectation–maximization algorithm Bayesian network Computer vision Statistics Vision
702	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
703	Probabilistic Goal Recognition in Interactive Narrative Environments Add to Reading List Source URL: www.aaai.org Language: English - Date: 2006-06-28 16:10:18 Computational linguistics Bayesian statistics Cognition N-gram Speech recognition Activity recognition Narrative Bayesian network Interactive storytelling Science Artificial intelligence Linguistics
704	An Experimental Procedure for Evaluating User-Centered Methods for Rapid Bayesian Network Construction Michael Farry, Jonathan Pfautz & Zach Cox Charles River Analytics, Inc. Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2008-08-19 04:09:26 Networks Bayesian network Graphical model Causal model Probabilistic logic Statistics Statistical models Bayesian statistics
705	Soft Computing Techniques for Diagnostics and Prognostics Add to Reading List Source URL: aaai.org Language: English - Date: 2006-01-11 05:46:15 Fuzzy logic Reasoning system Fuzzy control system Neural network Machine learning Soft computing Genetic algorithm Expert system Bayesian network Artificial intelligence Science Logic
706	Statistical Language Modeling For Information Retrieval Xiaoyong Liu and W. Bruce Croft Center for Intelligent Information Retrieval Department of Computer Science University of Massachusetts, Amherst, MA 01003 {xliu, cr Add to Reading List Source URL: ciir.cs.umass.edu Language: English - Date: 2004-01-08 15:39:06 Language model Query likelihood model N-gram Binary Independence Model Vector space model Bayesian network Tf*idf Document retrieval Relevance feedback Information science Information retrieval Science
707	From: AAAI-91 Proceedings. Copyright ©1991, AAAI (www.aaai.org). All rights reserved. ristie Eugene Charniak and Saadia Husain Department of Computer Science Brown University Box 1910, Providence RI 02912 Add to Reading List Source URL: www.aaai.org Language: English - Date: 2006-01-09 20:18:56 Heuristic function Topological sorting Directed acyclic graph Admissible heuristic Heuristic Bayesian network Mathematical proof A* search algorithm Graph theory Heuristics Mathematics
708	1 Representation Learning: A Review and New Perspectives Yoshua Bengio† , Aaron Courville, and Pascal Vincent† Department of computer science and operations research, U. Montreal Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-04-23 20:29:16 Neural networks Multivariate statistics Networks Boltzmann machine Pattern recognition Unsupervised learning Supervised learning Bayesian network Graphical model Statistics Machine learning Statistical models
709	Overview Bayesian learning theory applied to human cognition Robert A. Jacobs1∗ and John K. Kruschke2 Probabilistic models based on Bayes’ rule are an increasingly popular approach to Add to Reading List Source URL: www.indiana.edu Language: English - Date: 2012-01-07 13:16:34 Bayesian inference Bayesian probability Graphical model Expectation–maximization algorithm Prior probability Hierarchical Bayes model Mixture model Latent variable Dirichlet process Statistics Bayesian statistics Bayesian network
710	Bayesian Network Structure Learning using Factorized NML Universal Models Teemu Roos, Tomi Silander, Petri Kontkanen, and Petri Myllymäki Complex Systems Computation Group, Helsinki Institute for Information Technology Add to Reading List Source URL: ita.ucsd.edu Language: English - Date: 2008-01-04 13:52:34 Maximum likelihood Fisher information Bayesian network Minimum description length Likelihood function Bayesian information criterion Naive Bayes classifier Markov chain Statistics Estimation theory Bayesian statistics

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