A family of measures for best top- n class-selective decision rules

When classes strongly overlap in the feature space, or when some classes are not known in advance, the performance of a classifier heavily decreases. To overcome this problem, the reject option has been introduced. It simply consists in withdrawing the decision, and let another classifier, or an exp...

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Bibliographic Details
Published in:	Pattern recognition Vol. 45; no. 1; pp. 552 - 562
Main Authors:	Le Capitaine, Hoel, Frélicot, Carl
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 2012 Elsevier
Subjects:	Applied sciences Class-selective decision rules Classification Classifiers Computer Science Computer Vision and Pattern Recognition Exact sciences and technology Fuzzy aggregation operators Information, signal and communications theory Intervals Labels Operators Pattern recognition Public domain Reject options Signal and communications theory Signal representation. Spectral analysis Signal, noise Telecommunications and information theory Thresholds Class-selective decision rules Fuzzy aggregation operators Reject options Performance evaluation Automatic classification Signal classification Decision rule
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
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