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Markov random field
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11	Collective Activity Detection using Hinge-loss Markov Random Fields Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, Larry Davis University of Maryland College Park, MD 20742 {blondon,sameh,bach,bert,g Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2013-06-14 19:26:52 Artificial intelligence Probability Statistics Bayesian statistics Markov networks Graphical models Markov random field Probability theory Image segmentation Probabilistic soft logic Activity recognition Support vector machine
12	Rounding Guarantees for Message-Passing MAP Inference with Logical Dependencies Stephen H. Bach Computer Science Dept. University of Maryland Add to Reading List Source URL: stephenbach.net Language: English - Date: 2014-12-17 17:02:10 Graphical models Mathematical analysis Mathematics Probability Mathematical optimization Operations research Linear programming Probability theory Markov random field Linear programming relaxation Relaxation Bayesian network
13	Hinge-Loss Markov Random Fields and Probabilistic Soft Logic arXiv:1505.04406v2 [cs.LG] 9 DecStephen H. Bach∗ Matthias Broecheler† Bert Huang‡ Lise Getoor§ Add to Reading List Source URL: stephenbach.net Language: English - Date: 2015-12-16 16:04:19 Logic Graphical models Mathematics Mathematical logic Structured prediction Markov random field Probability theory Non-classical logic Logic in computer science Bayesian network Random field Fuzzy logic
14	Rounding Guarantees for Message-Passing MAP Inference with Logical Dependencies I S Add to Reading List Source URL: stephenbach.net Language: English - Date: 2014-12-17 16:58:03 Computing Software engineering Computer programming Graphical models Probability theory Markov random field Local consistency Random field Scala
15	Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees Stephen H. Bach University of Maryland Add to Reading List Source URL: stephenbach.net Language: English - Date: 2015-01-26 18:37:33 Graphical models Mathematics Mathematical analysis Probability Mathematical optimization Combinatorial optimization Linear programming Operations research Markov random field Linear programming relaxation Relaxation Randomized rounding
16	Learning Symmetric Relational Markov Random Fields A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science by Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2015-08-10 08:23:33 Graphical models Statistics Probability Statistical theory Variable elimination Markov random field Markov chain Belief propagation Conceptual model Bayesian network Deep learning
17	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
18	ABSTRACT Title of dissertation: HINGE-LOSS MARKOV RANDOM FIELDS AND PROBABILISTIC SOFT LOGIC: Add to Reading List Source URL: stephenbach.net Language: English - Date: 2015-10-08 14:59:19 Statistics Machine learning Probability Statistical models Graphical models Bayesian statistics Markov networks Statistical relational learning Probabilistic soft logic Markov random field Structured prediction Expectationmaximization algorithm
19	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
20	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

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