Estimating the Bayes Risk from Sample Data
–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
Neural Information Processing Systems
Dec-31-1996
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