Bayesian optimization for computationally extensive probability distributions.

An efficient method for finding a better maximizer of computationally extensive probability distributions is proposed on the basis of a Bayesian optimization technique. A key idea of the proposed method is to use extreme values of acquisition functions by Gaussian processes for the next training pha...

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Bibliographic Details
Main Authors: Ryo Tamura, Koji Hukushima
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5837188?pdf=render