| Presentation | 2004/9/4 Ensemble Learning : Information Fusion for Improving Classifiers Naonori UEDA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In patter recognition system, it is crucial to design a classifier with high generalization ability. Ensemble learning is one pronissing approach for the purpose. In this tutorial, representative ensemble learning methods are reviewed. Moreover, different information fusion methods are also explained as a new type of ensemble learning. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | |
| Paper # | PRMU2004-79 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2004/9/4(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Ensemble Learning : Information Fusion for Improving Classifiers |
| Sub Title (in English) | |
| Keyword(1) | |
| 1st Author's Name | Naonori UEDA |
| 1st Author's Affiliation | NTT Communication Science Laboratories, NTT Corporation() |
| Date | 2004/9/4 |
| Paper # | PRMU2004-79 |
| Volume (vol) | vol.104 |
| Number (no) | 291 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |