| Presentation | 2007-03-16 Adaptive Classifiers-Ensemble System for Changing Situations Kyosuke NISHIDA, Koichiro YAMAUCHI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The ability to adapt to various types of changes is essential to dealing with real-world problems. To improve the performance of our previously reported an online learning system that uses an ensemble of classifiers, the adaptive classifiers-ensemble (ACE) system, we have improved the weighting method, which combines the outputs of classifiers, and have added a new classifier pruning method. ACE consists of one online classifier, many batch classifiers, and a drift detection mechanism. The experimental results showed that the enhanced version of ACE performed well for a synthetic dataset in which there are sudden changes, gradual changes, and recurring concepts. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | concept drift / multiple classifiers system / changing environments / drift detection |
| Paper # | PRMU2006-272 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2007/3/9(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Adaptive Classifiers-Ensemble System for Changing Situations |
| Sub Title (in English) | |
| Keyword(1) | concept drift |
| Keyword(2) | multiple classifiers system |
| Keyword(3) | changing environments |
| Keyword(4) | drift detection |
| 1st Author's Name | Kyosuke NISHIDA |
| 1st Author's Affiliation | Division of Synergetic Information Science, Graduate School of Information Science and Technology Hokkaido University() |
| 2nd Author's Name | Koichiro YAMAUCHI |
| 2nd Author's Affiliation | Division of Synergetic Information Science, Graduate School of Information Science and Technology Hokkaido University:Japan Society for the Promotion of Science |
| Date | 2007-03-16 |
| Paper # | PRMU2006-272 |
| Volume (vol) | vol.106 |
| Number (no) | 606 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |