Bayesian wavelet networks for nonparametric regression.

Bayesian wavelet networks for nonparametric regression.

Radial wavelet networks have recently been proposed as a method for nonparametric regression. In this paper we analyze their performance within a Bayesian framework. We derive probability distributions over both the dimension of the networks and the network coefficients by placing a prior on the deg...

書誌詳細
主要な著者:	Holmes, C, Mallick, B
フォーマット:	Journal article
言語:	English
出版事項:	IEEE 2000

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