Accurate and reliable diagnosis and classification using probabilistic ensemble simplified fuzzy ARTMAP

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Accurate and reliable diagnosis and classification using probabilistic ensemble simplified fuzzy ARTMAP

In this paper, an accurate and effective probabilistic plurality voting method to combine outputs from multiple Simplified Fuzzy ARTMAP (SFAM) classifiers is presented. Five ELENA benchmark problems and five medical benchmark data sets have been used to evaluate the applicability and performance of...

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Bibliographic Details
Main Authors:	Loo, C.K., Rao, M.V.C.
Format:	Article
Language:	English
Published:	2005
Subjects:	QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://shdl.mmu.edu.my/2175/ http://shdl.mmu.edu.my/2175/1/1495.pdf

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