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Bayesian networks
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#	Item
31	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
32	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
33	Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity Bernhard Nessler1, Michael Pfeiffer1,2, Lars Buesing1, Wolfgang Maass1 1 Institute for Theoretical Computer Scienc Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English* - Date: 2014-10-13 19:51:18 Neuroscience Nervous system Biology Computational neuroscience Neural networks Neurophysiology Spike-timing-dependent plasticity Biological neuron model Neural coding Hebbian theory Neuron Neural oscillation
34	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
35	Genome Informatics 12: 274–Inference of a Gene Network from the Experimentally Observed Expression Data by Using AIGNET Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2002-01-17 03:51:05 Networks Statistics Systems biology Biology Gene expression Gene regulatory network Systems science Bayesian network Bayesian inference Bioinformatics Gene co-expression network
36	Journal of Machine Learning Research436 Submitted 10/10; Revised 9/12; Published 1/13 Ranked Bandits in Metric Spaces: Learning Diverse Rankings over Large Document Collections∗ Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2013-05-28 15:45:18 Mathematics Space Structure Bayesian network Networks Lipschitz continuity Metric space Algorithm
37	Author manuscript, published in "International Conference on Information Processing in Medical Imaging (2013)" Learning from M/EEG data with variable brain activation delays Wojciech Zaremba1,2 , M. Pawan Kumar1,2,3 , A Add to Reading List Source URL: cs.nyu.edu Language: English - Date: 2013-09-17 23:46:03 Statistics Statistical models Neuroscience Bayesian networks Statistical classification Support vector machine Electroencephalography Latent variable Data analysis
38	A Short Introduction to Probabilistic Soft Logic Angelika Kimmig1,2 , Stephen H. Bach1 , Matthias Broecheler3 , Bert Huang1 , Lise Getoor1 1 University of Maryland, 2 KU Leuven, 3 Aurelius LLC Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2013-06-14 19:26:51 Logic Philosophy Bayesian statistics Markov networks Model theory Reasoning Semantics Probabilistic soft logic Markov logic network Probabilistic logic Statistical relational learning Logical truth
39	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: stephenbach.net Language: English - Date: 2013-06-10 18:15:10 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
40	Journal of Artificial Intelligence Research–1178 Submitted 12/15; publishedExploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks Add to Reading List Source URL: jair.org Language: English - Date: 2016-04-28 15:06:13 Statistics Graphical models Probability Estimation theory Robot control Dynamic Bayesian network Probability theory Bayesian network Causality Particle filter Partially observable Markov decision process Belief propagation

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