OPTIMUM TRADEOFF BETWEEN CLASS-SELECTIVE REJECTION ERROR AND AVERAGE NUMBER OF CLASSES

The paper first reviews the recently proposed optimum class-selective rejection rule. This rule provides an optimum tradeoff between the err or rate and the average number of (selected) classes. Then, a Meld gen eral, elation between the error rate and the average number of classes is presented. The error rare can be directly computed from the class- selective reject function, which in turn can be estimated from unlabel led patterns, by simply counting the rejected classes. Theoretical as well as practical implications are discussed, and some future research directions are proposed. (C) 1998 Published by Elsevier Science Ltd. All rights reserved.