A measure of competence based on randomized reference classifier for dynamic ensemble selection

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A measure of competence based on randomized reference classifier for dynamic ensemble selection

This paper presents a measure of competence based on a randomized reference classifier (RRC) for classifier ensembles. The RRC can be used to model, in terms of class supports, any classifier in the ensemble. The competence of a modelled classifier is calculated as the probability of correct classif...

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Bibliographic Details
Main Authors:	Woloszynski, Tomasz, Kurzynski, M.
Format:	Conference Paper
Published:	2010
Online Access:	http://hdl.handle.net/20.500.11937/37118

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