Bayesian methods in global optimization
Journal of Global OptimizationPublished 1 January 1991
Bruno Betr�
Citations92
SJR quartileQ1
SJR score0.81
SNIP1.46
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TL;DR
This paper reviews methods which have been proposed for solving global optimization problems in the framework of the Bayesian paradigm and concludes that these methods should be considered as stand-alone approaches to optimization.
Abstract
This paper reviews methods which have been proposed for solving global optimization problems in the framework of the Bayesian paradigm.
Keywords
Computer Science
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