Estimating the Bayes Risk from Sample Data

Snapp, Robert R., Xu, Tong

Neural Information Processing Systems 

In this setting, each pattern, represented as an n-dimensional feature vector, is associated with a discrete pattern class, or state of nature (Duda and Hart, 1973). Using available information, (e.g., a statistically representative set of labeled feature vectors

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