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|All Authors / Contributors:||
Federico Girosi; Whitaker College of Health Sciences, Technology, and Management. Center for Biological Information Processing.; Massachusetts Institute of Technology. Artificial Intelligence Laboratory.
|Description:||13 p. : ill. ; 28 cm.|
|Series Title:||A.I. memo, 1287.|
In this paper we show that, for a class of functions V, using these robust estimators corresponds to assuming that data are corrupted by Gaussian noise whose variance fluctuates according to some given probability distribution, that uniquely determines the shape of V."