| Presentation | 2002/10/10 Geometrical Understanding of Boosting Algorithms Noboru MURATA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Ensemble learning algorithms are widely noticed as attractive methods for avoiding the explosion of computational costs and the decline of generalization abilities in huge learning machines. In this article the AdaBoost algorithm, one of the boosting algorithms which construct a strong machine from many weak machines trained by reweighted samples, is focused and its mechanism is considered based on the geometrical structure of the space of learning models. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | ensemble learning / boosting algorithm / geometrical structure |
| Paper # | NC2002-50 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2002/10/10(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| 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) | Geometrical Understanding of Boosting Algorithms |
| Sub Title (in English) | |
| Keyword(1) | ensemble learning |
| Keyword(2) | boosting algorithm |
| Keyword(3) | geometrical structure |
| 1st Author's Name | Noboru MURATA |
| 1st Author's Affiliation | Waseda University() |
| Date | 2002/10/10 |
| Paper # | NC2002-50 |
| Volume (vol) | vol.102 |
| Number (no) | 381 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |