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Bayesian networks
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541	Modeling the Cognitive Task Load and Performance of Naval Operators Mark A. Neerincx1,2, Stefan Kennedie1,5, Marc Grootjen2,3, Franc Grootjen4,5 1 TNO Human Factors, Kampweg 5, 3769 ZG Soesterberg, The Netherlands Add to Reading List Source URL: franc.grootjen.nl Language: English - Date: 2009-07-12 08:44:34 Machine learning Networks Bayesian network Graphical model Statistical classification Bayesian inference Algorithm Statistics Bayesian statistics Statistical models
542	Using Bayesian Networks to model Expected and Unexpected Operational Losses Add to Reading List Source URL: www.agena.co.uk Language: English - Date: 2010-02-23 15:24:03 Management Actuarial science Risk management Risk Security Uncertainty Conditional probability Marginal distribution Probability interpretations Probability theory Probability Statistics
543	Agena White Paper W0904/01, Version 01.00, 5 Sept[removed]Agena’s Bayesian Network Technology Summary Bayesian Nets (BNs) are an increasingly Add to Reading List Source URL: www.agena.co.uk Language: English - Date: 2010-02-23 15:24:05 Networks Graphical models Bayesian network
544	Microsoft Word - app_f_fn2000.doc Add to Reading List Source URL: www.tshilidzimarwala.com Language: English - Date: 2006-11-27 02:34:34 Tshilidzi Marwala Computational neuroscience Finite element method Pseudo-modal energies Vibration Bayesian inference Bayesian network Finite element updating Neural network Statistics Bayesian statistics Networks
545	TRAX is an Initial Training Networks (ITN) research project sponsored by the EU under the Marie Curie actions in the 7th Framework Program. TRAX concentrates on Tracking in Complex Sensor Systems, focussing on complexiti Add to Reading List Source URL: www.isif.org Language: English - Date: 2013-10-02 14:16:59 Bayesian statistics Bayesian inference Statistical forecasting Statistical inference Statistical theory Xsens Surveillance Monte Carlo method Machine learning Statistics Probability and statistics Science
546	ARTICLE Communicated by Yoshua Bengio An Efficient Learning Procedure for Deep Boltzmann Machines Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-09-17 19:59:36 Statistical theory Neural networks Statistical models Boltzmann machine Bayesian statistics Markov chain Maximum likelihood Generative model Ludwig Boltzmann Statistics Estimation theory Probability and statistics
547	Belief Update in Bayesian Networks Using Uncertain Evidence* Rong Pan, Yun Peng and Zhongli Ding Department of Computer Science and Electrical Engineering University of Maryland Baltimore County, Baltimore, MD 21250 {pan Add to Reading List Source URL: www.csee.umbc.edu Language: English - Date: 2007-01-31 13:41:32 Kullback–Leibler divergence Posterior probability Bayesian probability Statistics Bayesian statistics Bayesian network
548	a n a ly s i s Network deconvolution as a general method to distinguish direct dependencies in networks © 2013 Nature America, Inc. All rights reserved. Add to Reading List Source URL: compbio.mit.edu Language: English - Date: 2014-05-26 06:19:49 Structure Sociology Operations research Image processing Signal processing Deconvolution Bayesian network Dependency network Social network Networks Network theory Science
549	1 1.1 declarative representation model Add to Reading List Source URL: pgm.stanford.edu Language: English - Date: 2009-09-08 20:07:47 Probability and statistics Statistical models Networks Markov models Bayesian network Markov random field Probabilistic logic Machine learning Markov chain Statistics Graphical models Bayesian statistics
550	Contents Acknowledgments xxiii Add to Reading List Source URL: pgm.stanford.edu Language: English - Date: 2009-09-08 20:07:47 Probability theory Statistical models Networks Bayesian network Bayesian inference Markov random field Expectation–maximization algorithm Belief propagation Gibbs sampling Statistics Bayesian statistics Graphical models

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