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Bayesian network
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41	Vol. 24 ECCB 2008, pages i160–i166 doi:bioinformatics/btn282 BIOINFORMATICS Efﬁcient representation and P-value computation for Add to Reading List Source URL: pbil.univ-lyon1.fr Language: English - Date: 2008-10-22 02:35:22 Statistics Probability Machine learning Markov models Statistical models Bioinformatics Estimation theory Graph theory Markov chain Dynamic programming Bayesian network Sequence motif
42	Learning Continuous-Time Social Network Dynamics Yu Fan University of California, Riverside Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:15 Statistics Estimation theory Markov models Statistical theory Statistical models Regression analysis Bayesian network Gibbs sampling Markov chain Expectationmaximization algorithm Parameter Mathematical model
43	Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction Stephen H. Bach Bert Huang Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-11-10 21:50:33 Machine learning Graphical models Probability Statistics Markov models Probability theory Markov random field Structured prediction Bayesian network Random field Support vector machine Markov chain
44	WWW 2010 • Full Paper April 26-30 • Raleigh • NC • USA LCA-based Selection for XML Document Collections Georgia Koloniari Add to Reading List Source URL: www.cs.uoi.gr Language: English - Date: 2012-09-27 08:47:14 Information science Information retrieval Computing Query languages Theoretical computer science Lowest common ancestor Nearest neighbor search Bloom filter Search engine indexing XQuery XPath Bayesian network
45	A Bayesian Framework for Learning Words From Multiword Utterances Stephan C. Meylan () Thomas L. Griffiths (tom ) Department of Psychology, University of California, Berkeley, CA Add to Reading List Source URL: www.socsci.uci.edu Language: English - Date: 2015-09-17 16:09:29 Statistics Statistical theory Linguistics Language acquisition Estimation theory Lexis Psychology Vocabulary development Bayesian inference Vocabulary Bayesian network Language
46	Attend, Infer, Repeat: Fast Scene Understanding with Deep Generative Models S. M. Ali Eslami David Szepesvari Add to Reading List Source URL: juxi.net Language: English - Date: 2016-06-17 11:44:38 Artificial neural networks Statistics Artificial intelligence Applied mathematics Cybernetics Computational neuroscience Computational statistics Deep learning Graphical models Bayesian network Pattern recognition Computer vision
47	Univ. of Pittsburgh Conditional Random Fields Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2014-10-25 10:56:22 Graphical models Machine learning Statistical models Learning Artificial intelligence Statistics Conditional random field Generative model Markov random field Discriminative model Bayesian network Factor graph
48	Course Syllabus: COMPSCI 688 Probabilistic Graphical Models – Spring 2016 Instructor: Prof. Brendan O’Connor (http://brenocon.com) Add to Reading List Source URL: people.cs.umass.edu Language: English - Date: 2016-02-29 18:06:04 Statistics Education Applied mathematics Computational statistics Statistical models Graphical models Bayesian statistics Markov models Bayesian network Markov random field Educational technology Markov chain Monte Carlo
49	Probabilistic Inference and Accuracy Guarantees Stefano Ermon CS Department, Stanford Add to Reading List Source URL: intelligence.org Language: English - Date: 2016-06-01 20:00:33 Theoretical computer science PP Quantum complexity theory Boolean algebra Mathematics Numerical software Logic in computer science Bayesian network PROPT
50	Package ‘ctbn’ May 1, 2014 Type Package Title R Package for Continuous Time Bayesian Networks Version 1.0 Date Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2014-05-01 22:51:52 Logic Statistics Knowledge Data types Bayesian network Networks Pointer Inference Stan

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