| Presentation | 2002/7/19 Additional Learning and Active Forgetting by Support Vector Machine and RBF Networks Atsushi HATTORIT, Hirotaka NAKAYAMA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Radial Basis Function Network (RBFN) have been widely applied to practical classification problems. In recent years, Support Vector Machine (SVM) have been attracting researchers' interest as promising methods for classification problems. In this paper, we compare those two methods in view of additional learning and forgetting. The authors have reported that the additional learning and active forgetting in RBFN provide a good performance for classification under the changeable environment. First in this paper, a method for additional learning and for-getting in SVMs is proposed. Next, a comparative simulation for portfolio problems between RBFN and SVM will be made. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Active Forgetting / Additionl Learning / RBF Network / Support Vector Machine |
| Paper # | NC2002-31 |
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| Committee | NC |
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| Conference Date | 2002/7/19(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) | Additional Learning and Active Forgetting by Support Vector Machine and RBF Networks |
| Sub Title (in English) | |
| Keyword(1) | Active Forgetting |
| Keyword(2) | Additionl Learning |
| Keyword(3) | RBF Network |
| Keyword(4) | Support Vector Machine |
| 1st Author's Name | Atsushi HATTORIT |
| 1st Author's Affiliation | Graduate School of Natural Science, Konan University() |
| 2nd Author's Name | Hirotaka NAKAYAMA |
| 2nd Author's Affiliation | Faculty of Science and Engineering, Konan University |
| Date | 2002/7/19 |
| Paper # | NC2002-31 |
| Volume (vol) | vol.102 |
| Number (no) | 253 |
| Page | pp.pp.- |
| #Pages | 6 |
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