| Presentation | 2002/3/13 On extension and fast algorithms of SVM Neural Networks Jinhui Chao, Miho Hoshino, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Many supervized learning systems have been studied, such as multilayer perceprtons, support vector machines (SVM), e.g. RBF networks and polynomial networks, which utilize inner product kernels. Especially, SVM is attracting attention as provideing a good generalization and classification performance. Those properties of SVM are based on the fact that the learning is optimized with both the training error rate and the generalization performance. However, for practical problems, it is difficult to compute its support vectors directly since the high computation cost. In this paper, we propose fast algorithms of polynomial SVM and extensions of SVM. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | supprot vector machine / polynomial kernel / fast algorithm |
| Paper # | NC2001-226 |
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| Committee | NC |
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| Conference Date | 2002/3/13(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) | On extension and fast algorithms of SVM Neural Networks |
| Sub Title (in English) | |
| Keyword(1) | supprot vector machine |
| Keyword(2) | polynomial kernel |
| Keyword(3) | fast algorithm |
| 1st Author's Name | Jinhui Chao |
| 1st Author's Affiliation | Dept. of Electrical and Electronic Eng., and Communication Engineering, Faculty of Science and Engineering, Chuo University:The Institute of Science and Engineering, Chuo University() |
| 2nd Author's Name | Miho Hoshino |
| 2nd Author's Affiliation | Dept. of Electrical and Electronic Eng., and Communication Engineering, Faculty of Science and Engineering, Chuo University |
| Date | 2002/3/13 |
| Paper # | NC2001-226 |
| Volume (vol) | vol.101 |
| Number (no) | 737 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |