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Bayesian network
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261	PDF Document Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2014-03-28 04:36:13 Statistical models Statistical theory Bayesian network Probabilistic logic Bayesian inference Graphical model Normal distribution Randomized algorithm Confidence interval Statistics Bayesian statistics Statistical inference
262	MIRI MACH IN E INT ELLIGENCE R ESEARCH INS TITU TE A Comparison of Decision Algorithms Add to Reading List Source URL: intelligence.org Language: English - Date: 2013-04-29 07:41:11 Science Probability and statistics Statistical inference Bayesian network Networks Bayesian probability Graphical model Causal decision theory Decision theory Statistics Bayesian statistics Statistical models
263	A Hierarchical Field Framework for Unified Context-Based Classification Sanjiv Kumar and Martial Hebert The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA, {skumar, hebert}@ri.cmu.edu Abstract Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:50:20 Vision Imaging Bayesian statistics Object recognition Segmentation Maximum likelihood Finitary relation Bayesian network One-shot learning Computer vision Image processing Statistics
264	Boosted Optimization for Network Classification Timothy Hancock Bioinformatics Center Institute for Chemical Research Kyoto University, Japan Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2010-03-31 18:50:22 Graph theory Ensemble learning Formal sciences Statistical models Belief propagation Gradient boosting AdaBoost Pattern recognition Bayesian network Statistics Graphical models Machine learning
265	Cardinality Restricted Boltzmann Machines Kevin Swersky Daniel Tarlow Ilya Sutskever Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-11-26 14:29:25 Networks Mathematics Applied mathematics Computational neuroscience Boltzmann machine Belief propagation Bayesian network Machine learning Sparse matrix Neural networks Statistics Graphical models
266	Hybrid Variational/Gibbs Collapsed Inference in Topic Models Max Welling∗ Dept. Computer Science University of California Irvine Irvine, CA, USA Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-05-14 13:35:04 Variational Bayesian methods Expectation–maximization algorithm Gibbs sampling Bayesian network Centimetre–gram–second system of units Belief propagation Bayesian inference Latent Dirichlet allocation Perplexity Statistics Bayesian statistics Graphical models
267	arXiv:1312.6114v9 [stat.ML] 10 AprAuto-Encoding Variational Bayes Max Welling Machine Learning Group Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-04-19 07:05:02 Statistical models Statistical inference Expectation–maximization algorithm Missing data Variational Bayesian methods Maximum likelihood Normal distribution Bayesian network Marginal likelihood Statistics Estimation theory Bayesian statistics
268	Building Dynamic Knowledge Graphs Lise Getoor Department of Computer Science University of California Santa Cruz, CA 95064 Add to Reading List Source URL: www.akbc.ws Language: English - Date: 2015-04-02 16:06:46 Statistics Statistical models Graph theory Theoretical computer science Algorithm Mathematical model Bayesian network Factor graph Mathematics Graphical models Bayesian statistics
269	THIS IS A DRAFT VERSION. FINAL VERSION TO BE PUBLISHED AT NIPS ’06 Structure Learning in Markov Random Fields Sridevi Parise Bren School of Information and Computer Science Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2006-09-04 17:32:02 Probability theory Estimation theory Graphical models Marginal likelihood Expectation–maximization algorithm Variational Bayesian methods Normal distribution Maximum likelihood Bayesian network Statistics Bayesian statistics Statistical theory
270	Evidence Estimation for Bayesian Partially Observed MRFs Yutian Chen Department of Computer Science University of California, Irvine Irvine, CA 92697 Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2013-02-14 03:02:58 Normal distribution Expectation–maximization algorithm Variational Bayesian methods Bayesian network Markov chain Monte Carlo Maximum likelihood Deviance information criterion Pierre-Simon Laplace Markov random field Statistics Bayesian statistics Marginal likelihood

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