A measure of competence based on random classification for dynamic ensemble selection

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A measure of competence based on random classification for dynamic ensemble selection

In this paper, a measure of competence based on random classification (MCR) for classifier ensembles is presented. The measure selects dynamically (i.e. for each test example) a subset of classifiers from the ensemble that perform better than a random classifier. Therefore, weak (incompetent) classi...

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Bibliographic Details
Main Authors:	Woloszynski, Tomasz, Kurzynski, M., Podsiadlo, Pawel, Stachowiak, Gwidon
Format:	Journal Article
Published:	Elsevier 2012
Subjects:	Random classification Competence measure Multiple classifier system Dynamic ensemble selection
Online Access:	http://hdl.handle.net/20.500.11937/36540

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