Classification with 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...

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Bibliographic Details
Published in:	Canadian journal of statistics Vol. 34; no. 4; pp. 709 - 721
Main Authors:	Herbei, Radu, Wegkamp, Marten H.
Format:	Journal Article
Language:	English
Published:	Hoboken Wiley-Blackwell 01.12.2006 Statistical Society of Canada Wiley‐Blackwell Wiley Subscription Services, Inc
Subjects:	Bayes classifiers Bayes rule Bayesian analysis Classification Computer pattern recognition Conditional probabilities Cost functions Datasets Decision making Decision theory Diabetes empirical risk minimization Error rates Machine learning margin condition Mathematical functions Mathematical models Observational learning plug-in rules reject option Statistical methods Statistical models Studies
ISSN:	0319-5724, 1708-945X
Online Access:	Get full text
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