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Bayesian network
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#	Item
731	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
732	tech.report.jcp[removed]clark Add to Reading List Source URL: www.hss.cmu.edu Language: English - Date: 2010-06-03 11:20:59 Graph Causality Function Static single assignment form Bayesian network Directed acyclic graph Graph theory Mathematics Graphical models
733	A Transitivity Heuristic of Probabilistic Causal Reasoning Momme von Sydow1 ([removed]) Björn Meder1,2 ([removed]) York Hagmayer1 ([removed]) 1 Add to Reading List Source URL: crisp.psi.uni-heidelberg.de Language: English - Date: 2012-10-09 14:59:49 Physics Conditionals Theoretical physics Statistical models Causality Markov models Bayesian network Markov property Determinism Statistics Science Philosophy of science
734	How Causal Reasoning Can Bias Empirical Evidence Momme von Sydow1 ([removed]) York Hagmayer1 ([removed]) Björn Meder1,2 ([removed]) Michael R. Waldman Add to Reading List Source URL: crisp.psi.uni-heidelberg.de Language: English - Date: 2012-10-09 14:56:40 Information Philosophy of science Conditionals Statistical models Randomness Bayesian network Determinism Markov property Causal model Science Statistics Causality
735	Approximate Credal Network Updating by Linear Programming with Applications to Decision MakingI Alessandro Antonuccia,∗, Cassio P. de Camposb , David Hubera , Marco Zaffalona a Istituto Dalle Molle di Studi sull’Int Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2014-11-04 15:29:09 Bayesian inference Credal set Bayesian network Graphical model Statistics Bayesian statistics Statistical models
736	Bayesian network data imputation with application to survival tree analysis Paola M.V. Rancoitaa,b,c,∗, Marco Zaffalonb , Emanuele Zuccad , Francesco Bertonic,d , Cassio P. de Campose a University Centre for Statistics Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2014-12-24 05:18:47 Data analysis Bayesian statistics Regression analysis Imputation Bayesian network Proportional hazards models Expectation–maximization algorithm Decision tree learning Statistical power Statistics Statistical models Missing data
737	Continuous Time Bayesian Networks Uri Nodelman Stanford University [removed] Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-05-18 16:00:10 Statistical models Graphical models Networks Markov chain Bayesian network Stochastic process Stochastic matrix Hidden Markov model Continuous-time Markov process Statistics Markov models Markov processes
738	CONTINUOUS TIME BAYESIAN NETWORKS A DISSERTATION SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2008-05-19 21:09:21 Networks Statistical models Graphical models Bayesian network Epistemology Inference Statistics Bayesian statistics Logic
739	Expectation Maximization and Complex Duration Distributions 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 21:42:42 Exponentials Statistical theory Bayesian statistics Expectation–maximization algorithm Hidden Markov model Bayesian network Exponential family Maximum likelihood Sufficient statistic Statistics Markov models Estimation theory
740	Incorporating Context and User Feedback in Pen-Based Interfaces Martin Szummer and Philip J. Cowans Microsoft Research Add to Reading List Source URL: www.inference.phy.cam.ac.uk Language: English - Date: 2004-11-05 05:01:58 Science Pattern recognition Conditional random field Labeling theory Segmentation Learning Bayesian network User interface Machine learning Graphical models Statistics

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