Ensemble as a piecewise linear classifier

Pitoyo Hartono; Shuji Hashimoto

doi:10.1109/HIS.2006.264915

Ensemble as a piecewise linear classifier

Pitoyo Hartono^*, Shuji Hashimoto

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	Proceedings - Sixth International Conference on Hybrid Intelligent Systems and Fourth Conference on Neuro-Computing and Evolving Intelligence, HIS-NCEI 2006
DOIs	https://doi.org/10.1109/HIS.2006.264915
Publication status	Published - 2006
Event	6th International Conference on Hybrid Intelligent Systems and 4th Conference on Neuro-Computing and Evolving Intelligence, HIS-NCEI 2006 - Auckland Duration: 2006 Dec 13 → 2006 Dec 15

Other

Other	6th International Conference on Hybrid Intelligent Systems and 4th Conference on Neuro-Computing and Evolving Intelligence, HIS-NCEI 2006
City	Auckland
Period	06/12/13 → 06/12/15

ASJC Scopus subject areas

Computer Science(all)

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10.1109/HIS.2006.264915

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Hartono, P & Hashimoto, S 2006, Ensemble as a piecewise linear classifier. in Proceedings - Sixth International Conference on Hybrid Intelligent Systems and Fourth Conference on Neuro-Computing and Evolving Intelligence, HIS-NCEI 2006., 4041412, 6th International Conference on Hybrid Intelligent Systems and 4th Conference on Neuro-Computing and Evolving Intelligence, HIS-NCEI 2006, Auckland, 06/12/13. https://doi.org/10.1109/HIS.2006.264915

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abstract = "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.",

author = "Pitoyo Hartono and Shuji Hashimoto",

year = "2006",

doi = "10.1109/HIS.2006.264915",

language = "English",

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booktitle = "Proceedings - Sixth International Conference on Hybrid Intelligent Systems and Fourth Conference on Neuro-Computing and Evolving Intelligence, HIS-NCEI 2006",

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AU - Hartono, Pitoyo

AU - Hashimoto, Shuji

PY - 2006

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AB - 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.

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M3 - Conference contribution

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BT - Proceedings - Sixth International Conference on Hybrid Intelligent Systems and Fourth Conference on Neuro-Computing and Evolving Intelligence, HIS-NCEI 2006

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Y2 - 13 December 2006 through 15 December 2006

ER -

Ensemble as a piecewise linear classifier

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