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Bayesian networks
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#	Item
431	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
432	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
433	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
434	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
435	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
436	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
437	Recursive Causality in Bayesian Networks and Self-Fibring Networks D OV G ABBAY AND J ON Add to Reading List Source URL: www.kent.ac.uk Language: English - Date: 2004-06-16 06:36:34 Graphical models Bayesian statistics Science Networks Bayesian network Probability and statistics Causal model Causal Markov condition Causal consistency Causality Statistics Statistical models
438	1 Bayesian Logic Programming: Theory and Tool Kristian Kersting Institute for Computer Science, Machine Learning Lab Albert-Ludwigs-Universit¨ Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2007-02-02 14:16:03 Graphical models Networks Philosophy of science Probability and statistics Science Bayesian network Markov random field Bayesian probability Conditional independence Bayesian statistics Statistics Probability theory
439	Message Passing Inference with Chemical Reaction Networks Nils Napp and Ryan Prescott Adams School of Engineering and Applied Sciences Harvard University Cambridge, MA 02138 Add to Reading List Source URL: hips.seas.harvard.edu Language: English - Date: 2013-11-09 11:09:30 Networks Mathematics Bayesian statistics Statistical models Probability theory Factor graph Belief propagation Bayesian network Gene regulatory network Graphical models Graph theory Statistics
440	Preprints of the 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes Barcelona, Spain, June 30 - July 3, 2009 Anytime Near-Optimal Troubleshooting Applied to an Auxiliary Truck Braking Sy Add to Reading List Source URL: www.ida.liu.se Language: English - Date: 2012-01-19 11:51:23 Bayesian network Networks Problem solving Troubleshooting

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