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...
Principais autores: | Holmes, C, Mallick, B |
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Formato: | Journal article |
Idioma: | English |
Publicado em: |
IEEE
2000
|
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