| Presentation | 2006/12/15 Combining Complementary Classifiers generated by Boosting in Feature Transformation Ken-ichi KATO, Tetsuji OGAWA, Tetsunori KOBAYASHI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A framework of system combination using boosting in a feature transformation is proposed. In general, the combination of multiple classifiers improves the classification performance of each classifier. However, there are two important issues in such a system combination. First, the classification performance is not necessarily improved if the classifiers are not complementary. Second, an inappropriate combination makes the performance worse even if the complementary classifiers can be obtained. In this paper, we attempt to solve how to generate and how to combine the complementary classifiers. Aiming at generating the complementary classifiers, the boosting was applied in HLDA based feature transformation. At the combination stage, a pattern recognition using support vector machine was performed, in which a pair of the likelihoods emitted by the classifiers of the first stage was used as a feature parameter. Experimental results showed the effectiveness of proposed method: it reduced the errors by 74% compared to the case without any system combination. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | System combination / Complementary classifier / Boosting / HLDA / SVM |
| Paper # | NLC2006-63,SP2006-119 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2006/12/15(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| 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) | Combining Complementary Classifiers generated by Boosting in Feature Transformation |
| Sub Title (in English) | |
| Keyword(1) | System combination |
| Keyword(2) | Complementary classifier |
| Keyword(3) | Boosting |
| Keyword(4) | HLDA |
| Keyword(5) | SVM |
| 1st Author's Name | Ken-ichi KATO |
| 1st Author's Affiliation | Dept. of Computer Science, Waseda University() |
| 2nd Author's Name | Tetsuji OGAWA |
| 2nd Author's Affiliation | Dept. of Computer Science, Waseda University |
| 3rd Author's Name | Tetsunori KOBAYASHI |
| 3rd Author's Affiliation | Dept. of Computer Science, Waseda University |
| Date | 2006/12/15 |
| Paper # | NLC2006-63,SP2006-119 |
| Volume (vol) | vol.106 |
| Number (no) | 442 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |