期刊
CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE
卷 34, 期 4, 页码 709-721出版社
WILEY
DOI: 10.1002/cjs.5550340410
关键词
Bayes classifiers; classification; empirical risk minimization; margin condition; plug-in rules; reject option
The authors study binary classification that allows for a reject option in which case no decision is made. This reject option is to be used for those observations for which the conditional class probabilities are close and as such are hard to classify. The authors generalize existing theory for both plug-in rules and empirical risk minimizers to this setting.
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