Ensemble as a Piecewise Linear Classifier

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	Similar Articles Articles by Pitoyo Hartono Articles by Shuji Hashimoto

Sixth International Conference on Hybrid Intelligent Systems (HIS'06)

Auckland, New Zealand

December 13-December 15

ISBN: 0-7695-2662-4

	ASCII Text	x
	Pitoyo Hartono, Shuji Hashimoto, "Ensemble as a Piecewise Linear Classifier," Hybrid Intelligent Systems, International Conference on, pp. 32, Sixth International Conference on Hybrid Intelligent Systems (HIS'06), 2006.

	BibTex	x
	@article{ 10.1109/HIS.2006.24, author = {Pitoyo Hartono and Shuji Hashimoto}, title = {Ensemble as a Piecewise Linear Classifier}, journal ={Hybrid Intelligent Systems, International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2662-4}, pages = {32}, doi = {http://doi.ieeecomputersociety.org/10.1109/HIS.2006.24}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Hybrid Intelligent Systems, International Conference on TI - Ensemble as a Piecewise Linear Classifier SN - 0-7695-2662-4 SP EP A1 - Pitoyo Hartono, A1 - Shuji Hashimoto, PY - 2006 KW - null VL - 0 JA - Hybrid Intelligent Systems, International Conference on ER -

Pitoyo Hartono, Future University-Hakodate, Japan

Shuji Hashimoto, Waseda University, Japan

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HIS.2006.24

In this paper we analyze the performance of a neural network ensemble in performing piecewise linear classification by automatically decomposing a non-linear problem into several linear sub-problems. The strength and weakness of this neural network ensemble with respect to MLP and Perceptron, and the diversity in the ensemble?s modules, created as the result of the competitive learning process, are the main focus of this paper.

Citation:

Pitoyo Hartono, Shuji Hashimoto, "Ensemble as a Piecewise Linear Classifier," his, pp.32, Sixth International Conference on Hybrid Intelligent Systems (HIS'06), 2006

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