Bayesian information criteria and smoothing parameter selection in radial basis function networks
نویسندگان
چکیده
منابع مشابه
Radial basis function approximations as smoothing splines
Radial basis function methods for interpolation can be interpreted as roughness-minimizing splines. Although this relationship has already been established for radial basis functions of the form g(r) = r and g(r) = r log(r), it is extended here to include a much larger class of functions. This class includes the multiquadric g(r) = (r 2 + c 2) 1=2 and inverse multiquadric g(r) = (r 2 + c 2) ?1=...
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ژورنال
عنوان ژورنال: Biometrika
سال: 2004
ISSN: 0006-3444,1464-3510
DOI: 10.1093/biomet/91.1.27