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#	Item
381	To Appear in Proceedings of the ICML-2004 Workshop on Statistical Relational Learning and its Connections to Other Fields (SRL-2004), Banff, Canada, July 2004 Relational Markov Networks for Collective Information Extract Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2004-05-08 02:43:11 Networks Bayesian statistics Statistical models Probability theory Bayesian network Belief propagation Information extraction Markov random field Clique Graph theory Mathematics Graphical models
382	Learning Thin Junction Trees via Graph Cuts Dafna Shahaf Anton Chechetka Carlos Guestrin Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2009-08-13 03:47:05 Graph operations Bayesian statistics Statistical models Tree decomposition Markov random field Bayesian network Separator Clique Randomized algorithm Graph theory Graphical models Networks
383	Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction Luheng He Jennifer Gillenwater Computer and Information Science University of Pennsylvania Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2013-06-12 16:10:52 Conditional random field Machine learning Theoretical computer science Derivative Expectation–maximization algorithm Laplace operator Dimensional analysis Graph partition Mathematical analysis Mathematics Calculus
384	Spring Term 2014 Leading House PH.D. Course Randomized Experiments in Economics of Education - Syllabus INSTRUCTOR Prof. Eric P. Bettinger, Ph.D. Add to Reading List Source URL: www.educationeconomics.uzh.ch Language: English - Date: 2014-02-24 07:51:41 Scientific method Randomized experiment Randomized controlled trial Field experiment Randomization Experiment Random assignment Optimal design Esther Duflo Statistics Design of experiments Science
385	Mathematical Geology, 11ol. 21, No. 3, 1989 To Be or Not to B e[removed]Stationary? That Is the Question D. E. Myers 2 Add to Reading List Source URL: www.u.arizona.edu Language: English - Date: 2008-03-16 20:55:09 Covariance and correlation Signal processing Interpolation Kriging Stationary process Variogram Covariance function Time series Random field Statistics Geostatistics Stochastic processes
386	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
387	Better Punctuation Prediction with Dynamic Conditional Random Fields Wei Lu and Hwee Tou Ng Department of Computer Science National University of Singapore 13 Computing Drive, Singapore[removed] {luwei,nght}@comp.nus.edu.s Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2010-10-17 06:29:36 Computational linguistics Information science Natural language processing Speech recognition Unicode Conditional random field N-gram Information extraction Search engine indexing Linguistics Science Punctuation
388	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
389	MAMMOGRAPHIC IMAGE SEGMENTATION USING A TISSUE-MIXTURE MODEL AND MARKOV RANDOM FIELDS Gregory McGarry Mohamed Deriche Add to Reading List Source URL: www.gregorymcgarry.com Language: English - Date: 2005-11-18 15:43:53 Graphical models Machine learning Artificial intelligence Markov random field Networks Theoretical computer science Segmentation Mixture model Random field Statistics Medicine Probability
390	Open Access et al. Smith 2008 Volume Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Bioinformatics Logic Markov models Natural language processing Information science BioCreative Part-of-speech tagging Conditional random field Word-sense disambiguation Science Computational linguistics Linguistics

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