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Ensemble as a Piecewise Linear Classifier
Auckland, New Zealand December 13-December 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HIS.2006.24Sixth International Conference on Hyb ...
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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
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@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
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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