arXiv:1507.01059

Remarks on kernel Bayes' rule

Hisashi Johno, Kazunori Nakamoto, Tatsuhiko Saigo

제출 2015-07-04

원문 초록

Kernel Bayes' rule has been proposed as a nonparametric kernel-based method to realize Bayesian inference in reproducing kernel Hilbert spaces. However, we demonstrate both theoretically and experimentally that the prediction result by kernel Bayes' rule is in some cases unnatural. We consider that this phenomenon is in part due to the fact that the assumptions in kernel Bayes' rule do not hold in general.

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