| Presentation | 2006-03-16 Combining pairwise coupling classifiers using individual logistic regressions Nobuhiko YAMAGUCHI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Pairwise coupling is a popular multi-class classification method that combines all combinations for each pair of classes. This paper proposes a new pairwise coupling which obtains class probability using individual logistic regressions. We show analytically and experimentally that the proposed approach is more accurate than the individual logistic regressions. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Pairwise coupling / Individual logistic regressions / Neural networks / Pattern classification |
| Paper # | NC2005-141 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2006/3/9(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| 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) | Combining pairwise coupling classifiers using individual logistic regressions |
| Sub Title (in English) | |
| Keyword(1) | Pairwise coupling |
| Keyword(2) | Individual logistic regressions |
| Keyword(3) | Neural networks |
| Keyword(4) | Pattern classification |
| 1st Author's Name | Nobuhiko YAMAGUCHI |
| 1st Author's Affiliation | Faculty of Science and Engineering, Saga University() |
| Date | 2006-03-16 |
| Paper # | NC2005-141 |
| Volume (vol) | vol.105 |
| Number (no) | 658 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |