Possibilistic AIRS induction from uncertain data

Abstract This paper presents a new approach in machine learning, especially, in supervised classification and reasoning under uncertainty. For many classification problems, uncertainty is often inherent in modeling applications and should be treated carefully and not rejected to make better decision...
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Author:

Hentech, Rim [VerfasserIn]

Jenhani, Ilyes [VerfasserIn]

Elouedi, Zied [VerfasserIn]

Format:

Electronic Article

Language:

English

Published:

2015

Subjects:

Artificial immune recognition system

Possibility theory

Classification under uncertainty

Containing Work:

Enthalten in: Soft Computing - Springer-Verlag, 2003, 20(2015), 1 vom: 11. März, Seite 3-17

Links:

Volltext [Lizenzpflichtig]

DOI / URN:

10.1007/s00500-015-1627-3

Catalog id:

SPR006487920

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