Presentation | 2002/3/12 Constructing output coding classifiers in multiclass learning problems Nobuhiko YAMAGUCHI, Naohiro ISHII, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Ensemble is an effective technique for improving generalization ability. Ensemble technique is to create a set of learned models by repeatedly applying the algorithm to different learning circumstances, and then combining the learned models. In this paper, we investigate the ensemble technique based on error correcting codes. And, we propose the method for decoding the model's outputs coded by error correcting codes to class symbol. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | ensemble / error correcting codes / pattern classification |
Paper # | NC2001-179 |
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Committee | NC |
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Conference Date | 2002/3/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Constructing output coding classifiers in multiclass learning problems |
Sub Title (in English) | |
Keyword(1) | ensemble |
Keyword(2) | error correcting codes |
Keyword(3) | pattern classification |
1st Author's Name | Nobuhiko YAMAGUCHI |
1st Author's Affiliation | Department of Intelligence Systems and computer Science, Nagoya Institute of Technology() |
2nd Author's Name | Naohiro ISHII |
2nd Author's Affiliation | Department of Intelligence Systems and computer Science, Nagoya Institute of Technology |
Date | 2002/3/12 |
Paper # | NC2001-179 |
Volume (vol) | vol.101 |
Number (no) | 736 |
Page | pp.pp.- |
#Pages | 7 |
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