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Markov logic network
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31	Cooperative Multi-Agent Inference over Grid Structured Markov Random Fields Ryan K. Williams and Gaurav S. Sukhatme Abstract— In this work we investigate cooperative inference in multi-agent systems where uncertainty i Add to Reading List Source URL: robotics.usc.edu Language: English - Date: 2013-06-01 19:27:52 Probability theory Networks Statistical models Probability and statistics Mathematics Belief propagation Markov random field Bayesian network Probabilistic logic Graphical models Statistics Bayesian statistics
32	Efficient probabilistic models for inference and learning Individual Grant Review Report EPSRC grant GR/N07394 Peter A. Flach Department of Computer Science, University of Bristol Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2014-03-11 07:10:48 Bayesian network Bayesian inference Bayesian probability Machine learning Hierarchical Bayes model Hidden Markov model Causality Naive Bayes classifier Gibbs sampling Statistics Bayesian statistics Probabilistic logic
33	DOC Document Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2001-07-31 16:54:42 Bayesian network Graphical model Bayesian inference Bayesian probability Hidden Markov model Probabilistic logic Prior probability Influence diagram Probability distribution Statistics Bayesian statistics Probability and statistics
34	In Proceedings of the 19th International Conference on Inductive Logic Programming (ILP-09), Leuven, Belgium, July[removed]Speeding up Inference in Statistical Relational Learning by Clustering Similar Query Literals Lily Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2010-04-12 18:35:44 Artificial intelligence Bayesian statistics Logic programming Markov logic network Theoretical computer science Inference Probabilistic logic Clause Belief propagation Logic Science Mathematics
35	Learning and Inference in Collective Knowledge Bases Matthew Richardson A dissertation submitted in partial fulfillment of the requirements for the degree of Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2004-08-17 12:47:07 Markov logic network Theoretical computer science Thesis Consistency Science Knowledge Education Artificial intelligence
36	Counting-MLNs: Learning Relational Structure for Decision Making Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2012-04-17 04:37:10 Applied mathematics Graphical models Artificial intelligence Bayesian statistics Markov logic network Algorithm Bayesian network Perceptron Decision tree learning Statistics Machine learning Theoretical computer science
37	Markov Logic Networks Matthew Richardson ([removed]) and Pedro Domingos ([removed]) Department of Computer Science and Engineering, University of Washington, Seattle, WA[removed], U.S.A. Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2010-04-12 19:05:26 Predicate logic Model theory Artificial intelligence Theoretical computer science Markov logic network Interpretation First-order logic Markov chain Markov random field Logic Mathematical logic Mathematics
38	Bayesian Logic Programs Summer School on Relational Data Mining 17 and 18 August 2002, Helsinki, Finland Kristian Kersting, Luc De Raedt Albert-Ludwigs University Add to Reading List Source URL: www-ai.ijs.si Language: English - Date: 2002-08-29 07:04:35 Bayesian probability Estimation theory Hidden Markov model Bayesian inference Bayes factor Statistics Bayesian statistics Bayesian network
39	Joint Unsupervised Coreference Resolution with Markov Logic Hoifung Poon Pedro Domingos Department of Computer Science and Engineering University of Washington Seattle, WA[removed], U.S.A. Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2010-06-14 16:47:48 Artificial intelligence Predicate logic Theoretical computer science Information extraction Natural language processing Mathematical logic Markov logic network Coreference Resolution Logic Science Mathematics
40	Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic William Yang Wang Kathryn Mazaitis Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-08-12 11:05:10 Theoretical computer science Graphical models Artificial intelligence Probability theory Bayesian statistics Markov logic network PageRank Probabilistic logic Markov random field Logic Mathematics Probability