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Markov logic network
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#	Item
21	Probabilistic Inference Using Markov Chain Monte Carlo Methods Radford M. Neal Technical Report CRG-TR-93-1 Department of Computer Science University of Toronto Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Markov models Monte Carlo methods Markov chain Monte Carlo Statistical models Gibbs sampling Bayesian inference Bayesian network Bayesian probability Probabilistic logic Statistics Probability and statistics Bayesian statistics
22	New Rules for Domain Independent Lifted MAP Inference Happy Mittal, Prasoon Goyal Dept. of Comp. Sci. & Engg. I.I.T. Delhi, Hauz Khas New Delhi, 110016, India Add to Reading List Source URL: www.hlt.utdallas.edu Language: English - Date: 2014-10-31 21:58:08 Model theory Predicate logic Propositional calculus Theoretical computer science First-order logic Markov logic network Interpretation Function Atomic formula Logic Mathematical logic Mathematics
23	An Integer Polynomial Programming Based Framework for Lifted MAP Inference Somdeb Sarkhel, Deepak Venugopal Computer Science Department The University of Texas at Dallas {sxs104721,dxv021000}@utdallas.edu Add to Reading List Source URL: www.hlt.utdallas.edu Language: English - Date: 2014-10-31 21:57:33 Applied mathematics Artificial intelligence Predicate logic Mathematical logic Graphical models Markov logic network First-order logic Algorithm Atomic formula Mathematics Theoretical computer science Logic
24	Relieving the Computational Bottleneck: Joint Inference for Event Extraction with High-Dimensional Features Deepak Venugopal and Chen Chen and Vibhav Gogate and Vincent Ng Department of Computer Science and Human Languag Add to Reading List Source URL: www.hlt.utdallas.edu Language: English - Date: 2014-08-27 12:24:20 Knowledge Computational linguistics Speech recognition Reasoning Arguments N-gram Support vector machine Inference Markov logic network Logic Science Logical consequence
25	Mach Learn DOIs10994x Efficient inference and learning in a large knowledge base Reasoning with extracted information using a locally groundable first-order probabilistic logic Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2015-04-10 22:35:36 Link analysis Graphical models Networks Probability Mathematics PageRank Markov random field Markov logic network Artificial intelligence Theoretical computer science Applied mathematics
26	Scaling-up Importance Sampling for Markov Logic Networks Vibhav Gogate Department of Computer Science University of Texas at Dallas Add to Reading List Source URL: www.hlt.utdallas.edu Language: English - Date: 2014-10-31 21:56:53 Monte Carlo methods Data analysis Artificial intelligence Markov logic network Gibbs sampling Importance sampling Bayesian inference Sampling First-order logic Statistics Statistical inference Bayesian statistics
27	Just Count the Satisfied Groundings: Scalable Local-Search and Sampling Based Inference in MLNs Deepak Venugopal Department of Computer Science The University of Texas at Dallas Add to Reading List Source URL: www.hlt.utdallas.edu Language: English - Date: 2014-12-01 04:03:20 Bayesian statistics Artificial intelligence Model theory Graphical models Markov logic network First-order logic Gibbs sampling Constructible universe Bayesian network Mathematics Theoretical computer science Applied mathematics
28	Partial Observability and Probabilistic Plan/Goal Recognition Christopher W. Geib, Honeywell Laboratories 3660 Technology Drive Minneapolis, MN 55418 Add to Reading List Source URL: rpgoldman.goldman-tribe.org Language: English - Date: 2009-08-06 12:04:58 Bayesian statistics Statistical inference Markov models Graphical models Bioinformatics Hidden Markov model Bayesian network Statistical hypothesis testing Algorithm Statistics Science Logic
29	1 Logic-based Formalisms for Statistical Relational Learning James Cussens Department of Computer Science & York Centre for Complex Systems Analysis Add to Reading List Source URL: www.cs.york.ac.uk Language: English - Date: 2006-09-08 09:58:34 Bayesian statistics Predicate logic Philosophy of mathematics Non-classical logic Probabilistic logic Bayesian probability Markov logic network Probability interpretations First-order logic Logic Mathematics Mathematical logic
30	Project forFocused on Lifted Inference and on Probabilistic Programming languages --------------------------------------------------------------------------- Project reports requirements: 2014 Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-11-07 17:37:26 Statistical relational learning Markov logic network Bayesian network Bayesian inference Logic programming Graphical model Machine learning Statistics Bayesian statistics Statistical models