Presentation | 2005-02-24 Space Partitioning Method for Classifier Selection Hiromu HAYASHI, Takayuki NAKAMURA, Toshikazu WADA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Ensemble learing is a method for constructing a strong crassifier from multiple weak classifiers. In this method, the accuracy of the strong classifier is improved, however, the classification speed and memory consumption degenerate. This is because that the strong classifier requires outputs of all weak classifiers for a single input. Our approach consists of two ideas : decomposing the input space into boxes and selecting the best classifier for each box from a certain classifier set. In this approach, since a single classifier is selected for a single input, the classification speed is almost equivalent to that of a weak classifier. Despite the fast classification speed, the accuracy will be improved, because the best classifier is selected for each box. The problem is "how to decompose the input space" and "how to select the best classifier". We propose some box decomposition and classifier selection methods and verify them through experiments. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Ensemble learing / box decomposition / classifier selection |
Paper # | NLC2004-98,PRMU2004-180 |
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Committee | NLC |
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Conference Date | 2005/2/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Space Partitioning Method for Classifier Selection |
Sub Title (in English) | |
Keyword(1) | Ensemble learing |
Keyword(2) | box decomposition |
Keyword(3) | classifier selection |
1st Author's Name | Hiromu HAYASHI |
1st Author's Affiliation | Faculty of Systems Engineering, Wakayama University() |
2nd Author's Name | Takayuki NAKAMURA |
2nd Author's Affiliation | Faculty of Systems Engineering, Wakayama University |
3rd Author's Name | Toshikazu WADA |
3rd Author's Affiliation | Faculty of Systems Engineering, Wakayama University |
Date | 2005-02-24 |
Paper # | NLC2004-98,PRMU2004-180 |
Volume (vol) | vol.104 |
Number (no) | 667 |
Page | pp.pp.- |
#Pages | 6 |
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