Classification with reject options in a logical framework: a fuzzy residual implication approachReport as inadecuate




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1 MIA - Mathématiques, Image et Applications

Abstract : In many classification problems, overlapping classes and outliers can significantly decrease a classifier performance. In this paper, we introduce the possibility of a given classifier to reject patterns either for ambiguity or for distance. From a set of typicality degrees for a pattern to be classified, we propose to use fuzzy implications to quantify the similarity of the degrees. A class-selective scheme based on this new family is presented, and experimental results showing the efficiency of the proposed algorithm are given.





Author: Hoel Le Capitaine - Carl Frelicot -

Source: https://hal.archives-ouvertes.fr/



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