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	Nakajima, Shinichi     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 1 of 1 reviews       Variational Bayesian learning theory Nakajima S., Watanabe K., Sugiyama M., Cambridge University Press, New York, NY, 2019. 558 pp.  Type: Book (978-1-107076-15-0) In machine learning, variational Bayesian (VB) learning is one of the most popular methods, according to the back cover of the book. The VB learning framework poses and solves optimization problems. The book explains the optimization o...... Sep 10 2020
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