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


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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