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Random field
Results: 650

#	Item
261	Exponential random graphs Keith Briggs http://keithbriggs.info MoN4 QMUL 2005 Julcorrected version 2005 July 25 16:18 Add to Reading List Source URL: keithbriggs.info Language: English - Date: 2005-08-16 05:04:20 Networks Line graph Estimation theory Random graph Exponential function Markov random field Exponentiation Exponential random graph models Erdős–Rényi model Graph theory Mathematics Exponentials
262	Efficient Markov Network Structure Discovery using Independence Tests ∗ Facundo Bromberg, Dimitris Margaritis, Vasant Honavar Dept. of Computer Science Iowa State University Ames, IA 50011 {bromberg,dmarg,honavar}@cs.i Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2006-03-14 20:26:48 Statistics Graphical models Networks Statistical models Probability and statistics Bayesian network Causality Markov random field Correlation and dependence Probability theory Statistical dependence Mathematics
263	Appeared in IEEE Conference on Computer Vision and Pattern Recognition (CVPRMulti-View Latent Variable Discriminative Models For Action Recognition Yale Song1 , Louis-Philippe Morency2 , Randall Davis1 1 MIT Com Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2015-01-28 16:02:14 Theoretical computer science Statistical models Bioinformatics Hidden Markov model Markov chain Exponential distribution Economic model Conditional random field Graphical model Statistics Markov models Probability and statistics
264	Discriminatively Trained Markov Model for Sequence Classification Oksana Yakhnenko, Adrian Silvescu, Vasant Honavar Artificial Intelligence Research Laboratory Center for Computational Intelligence Learning and Discovery Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2005-10-29 21:29:16 Graphical models Bayesian statistics Statistical models Generative model Naive Bayes classifier Support vector machine Discriminative model Cross-validation Markov random field Statistics Machine learning Statistical classification
265	Hierarchical Bayesian Networks: A Probabilistic Reasoning Model for Structured Domains Elias Gyftodimos Peter A. Flach Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2014-03-11 07:04:22 Graph theory Probability and statistics Networks Probability theory Statistical models Bayesian network Markov random field Bayesian inference Belief propagation Statistics Bayesian statistics Graphical models
266	Deconstructing Reinforcement Learning in Sigma Paul S. Rosenbloom Department of Computer Science & Institute for Creative Technologies University of Southern CaliforniaWaterfront Drive, Playa Vista, CArosen Add to Reading List Source URL: agi-conference.org Language: English - Date: 2012-12-09 07:36:33 Networks Applied mathematics Reinforcement learning SARSA Q-learning Statistical models Reinforcement Bayesian network Markov random field Machine learning Graphical models Statistics
267	Spatio-Temporal Event Detection Using Dynamic Conditional Random Fields Add to Reading List Source URL: www.cse.ust.hk Language: English - Date: 2009-07-14 20:11:06 Data mining Wireless networking Wireless sensor network Bayesian network Conditional random field Causality Markov chain Anomaly detection Statistics Graphical models Networks
268	Context-Aware Query Classification ∗ 1 Huanhuan Cao1 Add to Reading List Source URL: www.cse.ust.hk Language: English - Date: 2009-06-24 09:30:04 Science Web query classification Web search query Query expansion Document classification Qt Google Search Conditional random field Search engine indexing Information science Information retrieval Software
269	Random matrices and their applications Hong Kong, January 6-9, 2015 Random matrix theory is a very active field at the confluence of pure mathematics, theoretical physics, multivariate statistics, electrical engineering, Add to Reading List Source URL: lx2.saas.hku.hk Language: English - Date: 2014-10-27 03:59:45 Marne-la-Vallée University of Marne la Vallée
270	Journal of Artificial Intelligence Research485 Submitted 1/09; published 7/09 Efficient Markov Network Structure Discovery Using Independence Tests Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2009-07-10 16:48:24 Probability and statistics Theoretical computer science Bayesian statistics Statistical models Networks Bayesian network Markov random field Mutual information Algorithm Statistics Graphical models Mathematics

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