Presentation | 2008-03-13 A hierarchical multi-class classification method based on error-correcting output coding Yoshimi OYAMA, Takashi TAKENOUCHI, Shin ISHII, |
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Abstract(in English) | There have been studies of multi-class classification by combining multiple binary classifiers within the framework of error-correcting output coding. In these methods, the original multi-class classification problem is decomposed to multiple binary classification problems by using the code matrix prepared in advance. In this report, we propose a new method of using parts of a code matrix "hierarchically". We apply this method to various classification problems including synthetic datasets and datasets from UCI repository and results show that the proposed method is superior or comparative to other multi-class classification methods such as the Hamming decoding and the multi-class SVM. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Multi-class classifier / error-correcting output coding / code matrix / hierarchical method |
Paper # | NC2007-169 |
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Committee | NC |
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Conference Date | 2008/3/5(1days) |
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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) | A hierarchical multi-class classification method based on error-correcting output coding |
Sub Title (in English) | |
Keyword(1) | Multi-class classifier |
Keyword(2) | error-correcting output coding |
Keyword(3) | code matrix |
Keyword(4) | hierarchical method |
1st Author's Name | Yoshimi OYAMA |
1st Author's Affiliation | Faculty of Engineering, Kyoto University() |
2nd Author's Name | Takashi TAKENOUCHI |
2nd Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
3rd Author's Name | Shin ISHII |
3rd Author's Affiliation | Faculty of Engineering, Kyoto University |
Date | 2008-03-13 |
Paper # | NC2007-169 |
Volume (vol) | vol.107 |
Number (no) | 542 |
Page | pp.pp.- |
#Pages | 6 |
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