Estimating regional noise on neural netw
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Karsten E. Weber; Werner Schlagner; Knuth Schweier
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Article
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2003
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Elsevier Science
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English
β 185 KB
A new method for estimating the variance of noise for nonlinear regression is presented. The noise is modelled to be regional, i.e. its variance depends on the input, and it consists of two sources: measurement errors and inherent noise of the underlying function. Our approach consists of two neural