Results 271 to 280 of about 520,634 (314)
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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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Communications of the ACM, 1995
This brief tutorial on Bayesian networks serves to introduce readers to some of the concepts, terminology, and notation employed by articles in this special section. In a Bayesian network, a variable takes on values from a collection of mutually exclusive and collective exhaustive states.
David Heckerman, Michael P. Wellman
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This brief tutorial on Bayesian networks serves to introduce readers to some of the concepts, terminology, and notation employed by articles in this special section. In a Bayesian network, a variable takes on values from a collection of mutually exclusive and collective exhaustive states.
David Heckerman, Michael P. Wellman
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Bayesian reaction optimization as a tool for chemical synthesis
Nature, 2021Benjamin J Shields +2 more
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Bayesian statistics and modelling
Nature Reviews Methods Primers, 2021Rens van de Schoot +2 more
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Taking the Human Out of the Loop: A Review of Bayesian Optimization
Proceedings of the IEEE, 2016Bobak Shahriari, Nando De Freitas
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