Results 201 to 210 of about 80,384 (252)
Multivariate variable selection in N-of-1 observational studies via additive Bayesian networks. [PDF]
PLoS OnePascual C, Diaz K, Jain S.
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Exploring coral reef communities in Puerto Rico using Bayesian networks. [PDF]
Ecol InformCarriger JF, Fisher WS.
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Bayesian networks may allow better performance and usability than logistic regression. [PDF]
Crit CareWohlgemut JM +7 more
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Bayesian Networks for Prescreening in Depression: Algorithm Development and Validation.
JMIR Ment HealthMaekawa E +6 more
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WIREs Computational Statistics, 2009
AbstractBayesian networks are defined, and the chain rule for Bayesian networks is stated. Outlines of algorithms provided: inference in Bayesian networks, sensitivity analysis, EM for parameter learning, and learning structure. Copyright © 2009 John Wiley & Sons, Inc.This article is categorized under:Statistical and Graphical Methods of Data ...
Peek, N., Verduijn, M.
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AbstractBayesian networks are defined, and the chain rule for Bayesian networks is stated. Outlines of algorithms provided: inference in Bayesian networks, sensitivity analysis, EM for parameter learning, and learning structure. Copyright © 2009 John Wiley & Sons, Inc.This article is categorized under:Statistical and Graphical Methods of Data ...
Peek, N., Verduijn, M.
+7 more sources
Academic Radiology, 2005
A Bayesian network is a graphical model that finds probabilistic relationships among variables of a system. The basic components of a Bayesian network include a set of nodes, each representing a unique variable in the system, their inter-relations, as indicated graphically by edges, and associated probability values.
Ahmad Bashir, Latifur Khan, Mamoun Awad
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A Bayesian network is a graphical model that finds probabilistic relationships among variables of a system. The basic components of a Bayesian network include a set of nodes, each representing a unique variable in the system, their inter-relations, as indicated graphically by edges, and associated probability values.
Ahmad Bashir, Latifur Khan, Mamoun Awad
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Communications of the ACM, 2010
What are Bayesian networks and why are their applications growing across all fields?
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What are Bayesian networks and why are their applications growing across all fields?
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