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Bayesian network
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#	Item
771	Stochastic Backpropagation and Approximate Inference in Deep Generative Models arXiv:1401.4082v3 [stat.ML] 30 May[removed]Danilo J. Rezende, Shakir Mohamed, Daan Wierstra Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-06-01 20:20:02 Bayesian statistics Machine learning Statistical theory Variational Bayesian methods Backpropagation Gaussian process Bayesian network Perceptron Generative model Statistics Neural networks Statistical models
772	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
773	Beyond Keyword Search: Discovering Relevant Scientific Literature Khalid El-Arini Carlos Guestrin Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2011-06-19 06:28:38 Operations research Bayesian network Networks Dynamic programming Algorithm Function PageRank Mathematics Applied mathematics Statistics
774	On Bayesian Networks and Partial Orders Pekka Parviainen University of Helsinki [removed] Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2009-11-10 02:20:14 Statistical theory Networks Bayesian network Directed acyclic graph Bayesian inference Partially ordered set Machine learning Statistics Bayesian statistics Graphical models
775	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
776	Neural Variational Inference and Learning in Belief Networks Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-06-04 22:03:38 Neural networks Computational neuroscience Graphical models Variational Bayesian methods Bayesian network Boltzmann machine Machine learning Bayesian inference Expectation–maximization algorithm Statistics Bayesian statistics Networks
777	Memory & Cognition 2009, 37 (3), [removed]doi:[removed]MC[removed]The role of learning data in causal reasoning about observations and interventions Add to Reading List Source URL: 141.14.165.6 Language: English - Date: 2010-03-26 10:50:11 Philosophy of science Conditionals Statistical models Causality Graphical models Bayesian network Confounding Determinism Mental model Science Information Statistics
778	Microsoft Word - Table-of-Content-AGILE-Short-papers&postersAvecPage.docx Add to Reading List Source URL: www.agile-online.org Language: English - Date: 2012-08-06 05:20:52 Market segmentation Physics Real estate economics Sampling Statistical classification Parameter Bayesian network Environment variable Data analysis Statistics Science Real estate
779	A Bayesian Network Model of Causal Learning Michael R. Waldmann ([removed]) Max Planck Institute for Psychological Research; Leopoldstr. 24, 80802 Munich, Germany Laura Martignon (martignon@mpib-ber Add to Reading List Source URL: www.psych.uni-goettingen.de Language: English - Date: 2012-02-19 14:06:46 Philosophy of science Causality Statistical models Conditionals Graphical models Statistics Bayesian network Psychology Model Science Information Ethology
780	CogSci02 A Constraint Satisfaction Model of Causal Learning and Reasoning York Hagmayer ([removed]) Department of Psychology, University of Göttingen Gosslerstr. 14, 37073 Göttingen, Germany Add to Reading List Source URL: www.psych.uni-goettingen.de Language: English - Date: 2012-02-19 14:06:46 Philosophy of science Scientific method Statistical models Graphical models Causality Conditionals Psychology Bayesian network Hypothesis Science Information Ethology

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