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Bayesian networks
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#	Item
411	BNT Structure Learning Package : Documentation and Experiments Philippe Leray, Olivier Francois TECHNICAL REPORT Laboratoire PSI - INSA Rouen- FRE CNRS 2645 Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2004-11-15 07:58:24 Graphical models Networks Bayesian network Directed acyclic graph Statistical classification Naive Bayes classifier Akaike information criterion Statistics Bayesian statistics Statistical models
412	Learning Causal Models for Noisy Biological Data Mining: An Application to Ovarian Cancer Detection Add to Reading List Source URL: www.aaai.org Language: English - Date: 2007-05-22 13:29:33 Statistics Philosophy of science Bioinformatics Networks Bayesian network Causality Ovarian cancer Causal model Breast cancer Science Bayesian statistics Information
413	Bayesian Networks for Logical Reasoning Add to Reading List Source URL: www.aaai.org Language: English - Date: 2006-01-11 03:45:27 Bayesian statistics Philosophy of science Philosophy of mathematics Logical consequence Reasoning Bayesian network Probabilistic logic Bayesian probability Causality Logic Statistics Science
414	Regularization of Latent Variable Models to Obtain Sparsity Ramnath Balasubramanyan Language Technologies Institute Carnegie Mellon University Pittsburgh, PA[removed]removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-01-31 11:16:16 Statistical models Bayesian networks Latent Dirichlet allocation Regularization Topic model Perplexity Latent variable model Supervised learning Latent variable Statistics Statistical natural language processing Machine learning
415	pnas201116442[removed] Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2012-05-12 17:31:06 Networks Bayesian statistics Statistical models Gene regulatory network Bayesian network Functional genomics Graphical model Bioinformatics Supervised learning Biology Gene expression Molecular biology
416	Visualization of Decision Processes Using a Cognitive Architecture Mark A. Livingstona , Arthi Murugesanb , Derek Brocka , Wende K. Frosta , and Dennis Perzanowskia a Naval Add to Reading List Source URL: www.nrl.navy.mil Language: English - Date: 2012-12-13 11:35:49 Networks Bayesian statistics Statistical models Diagrams Science Bayesian network Influence diagram Knowledge representation and reasoning Tree Statistics Graph theory Decision theory
417	Graphical Models Zoubin Ghahramani Department of Engineering University of Cambridge, UK [removed] http://learning.eng.cam.ac.uk/zoubin/ Add to Reading List Source URL: videolectures.net Language: English - Date: 2013-01-04 03:55:51 Bayesian statistics Probability and statistics Statistical models Probability theory Networks Bayesian network Bayesian inference Factor graph Belief propagation Statistics Graphical models Graph theory
418	Employing Bayesian Belief Networks for Energy Efficient Network Management A. Bashar, M. Subramanian, S. K. Chaudhari, G. P. Parr, T. A. Gonsalves, S. I. McClean and B.W. Scotney India-UK Advanced Technology Centre of Add to Reading List Source URL: eprints.ulster.ac.uk Language: English* - Date: 2012-04-27 10:57:00 Internet Bayesian statistics Statistical models Network performance Teletraffic Simple Network Management Protocol Router Computer network Bayesian network Computing Network architecture Telecommunications engineering
419	Expectation Propagation for Continuous Time Bayesian Networks Uri Nodelman Stanford University [removed] Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-06-05 21:42:48 Graphical models Markov processes Probability theory Exponentials Belief propagation Coding theory Continuous-time Markov process Normal distribution Expectation–maximization algorithm Statistics Mathematics Probability and statistics
420	Topographic Factor Analysis: A Bayesian Model for Inferring Brain Networks from Neural Data Jeremy R. Manning1,2, Rajesh Ranganath2, Kenneth A. Norman1,3, David M. Blei2 1 Princeton Neuroscience Institute, Princeton Uni Add to Reading List Source URL: compmem.princeton.edu Language: English* - Date: 2014-05-15 17:35:54 Magnetic resonance imaging Neuroimaging Statistical models Functional magnetic resonance imaging Normal distribution Principal component analysis Kullback–Leibler divergence Independent component analysis Statistics Data analysis Multivariate statistics

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