Lae-Jeong Park and Jung-Ho Moon A Learning Method of Directly Optimizing Classifier Performance at Local Operating Range

Abstract

This paper addresses an effective learning method that enables us to directly optimize neural network classifier's discrimination performance at a desired local operating range by maximizing a partial area under a receiver operating characteristic (ROC) or domain-specific curve, which is difficult to achieve with classification accuracy or mean squared… (More)

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