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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Veröffentlicht in:	Pattern recognition Jg. 45; H. 1; S. 552 - 562
Hauptverfasser:	Le Capitaine, Hoel, Frélicot, Carl
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 2012 Elsevier
Schlagworte:	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-Zugang:	Volltext
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