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Markov logic network
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41	Stacked Graphical Models for Efficient Inference in Markov Random Fields Zhenzhen Kou Machine Learning Department Carnegie Mellon University Pittsburgh, PA USA[removed]Abstract Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-01-30 15:42:42 Applied mathematics Graphical models Bayesian statistics Natural language processing Science Gibbs sampling Conditional random field Machine learning Markov logic network Theoretical computer science Artificial intelligence Statistics
42	Dependency Parsing with Dynamic Bayesian Network Add to Reading List Source URL: aaai.org Language: English - Date: 2006-01-11 01:14:17 N-gram Bayesian inference Bayesian network Dependency grammar Graphical model Expectation–maximization algorithm Markov chain Probabilistic logic Hierarchical Bayes model Statistics Bayesian statistics Probability and statistics
43	1 Bayesian Logic Programming: Theory and Tool Kristian Kersting Institute for Computer Science, Machine Learning Lab Albert-Ludwigs-Universit¨ Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2007-02-02 14:16:03 Graphical models Networks Philosophy of science Probability and statistics Science Bayesian network Markov random field Bayesian probability Conditional independence Bayesian statistics Statistics Probability theory
44	Structure Learning of Markov Logic Networks through Iterated Local Search Marenglen Biba and Stefano Ferilli and Floriana Esposito1 Abstract. Many real-world applications of AI require both probability and first-order lo Add to Reading List Source URL: www.comp.leeds.ac.uk Language: English - Date: 2008-08-18 09:29:21 Logic Automated theorem proving Theoretical computer science Mathematical logic Statistical models Markov logic network Algorithm Logic programming Resolution Bayesian statistics Statistics Mathematics
45	Discriminative Structure Learning of Markov Logic Networks Marenglen Biba, Stefano Ferilli and Floriana Esposito Department of Computer Science, University of Bari Via E.Orabona, [removed], Bari, Italy {biba,ferilli,espo Add to Reading List Source URL: www.di.uniba.it Language: English - Date: 2008-10-06 05:34:02 Bayesian statistics Graphical models Mathematics Artificial intelligence Statistical models Markov random field Markov logic network Bayesian network Algorithm Theoretical computer science Statistics Applied mathematics
46	Abstract We describe a framework for linking together a structured ontology, deductive logic, and probability, Add to Reading List Source URL: www.cyc.com Language: English - Date: 2013-01-04 15:21:01 Theoretical computer science Artificial intelligence Logical consequence Reasoning Programming paradigms Cyc Markov logic network Probabilistic logic First-order logic Logic Science Knowledge
47	Discriminative Structure Learning of Markov Logic Networks Marenglen Biba, Stefano Ferilli and Floriana Esposito Department of Computer Science, University of Bari Via E.Orabona, [removed], Bari, Italy {biba,ferilli,espo Add to Reading List Source URL: www.di.uniba.it Language: English - Date: 2008-10-06 05:34:02 Bayesian statistics Graphical models Mathematics Artificial intelligence Statistical models Markov random field Markov logic network Bayesian network Algorithm Theoretical computer science Statistics Applied mathematics
48	Structure Learning of Markov Logic Networks through Iterated Local Search Marenglen Biba and Stefano Ferilli and Floriana Esposito1 Abstract. Many real-world applications of AI require both probability and first-order lo Add to Reading List Source URL: www.di.uniba.it Language: English - Date: 2008-10-06 05:35:01 Logic Automated theorem proving Theoretical computer science Mathematical logic Statistical models Markov logic network Algorithm Logic programming Resolution Bayesian statistics Statistics Mathematics
49	Structure Learning of Markov Logic Networks through Iterated Local Search Marenglen Biba and Stefano Ferilli and Floriana Esposito1 Abstract. Many real-world applications of AI require both probability and first-order lo Add to Reading List Source URL: www.di.uniba.it Language: English - Date: 2008-10-06 05:35:01 Logic Automated theorem proving Theoretical computer science Mathematical logic Statistical models Markov logic network Algorithm Logic programming Resolution Bayesian statistics Statistics Mathematics
50	Probabilistic Programming Andrew D. Gordon Thomas A. Henzinger Aditya V. Nori Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2014-02-03 11:01:04 Probability and statistics Markov models Non-classical logic Probabilistic logic Markov chain Bayesian network Bernoulli distribution Graphical model Probability distribution Statistics Bayesian statistics Statistical models

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