Discrete Box-Constrained Minimax Classifier for Uncertain and Imbalanced Class Proportions

This paper aims to build a supervised classifier for dealing with imbalanced datasets, uncertain class proportions, dependencies between features, the presence of both numeric and categorical features, and arbitrary loss functions. The Bayes classifier suffers when prior probability shifts occur bet...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 6 vom: 22. Juni, Seite 2923-2937
1. Verfasser:	Gilet, Cyprien (VerfasserIn)
Weitere Verfasser:	Barbosa, Susana, Fillatre, Lionel
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2022
Zugriff auf das übergeordnete Werk:	IEEE transactions on pattern analysis and machine intelligence
Schlagworte:	Journal Article Research Support, Non-U.S. Gov't