Presentation | 2003/11/15 An Application of Fuzzy Support Vector Machines to Nonlinear Regression Problems Masashi KURANOSHITA, Norikazu TAKAHASHI, Tetsuo NISHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The problem to determine the functional relationship between the input variable and the output variable from given some pairs of the input value and the corresponding output value, which in general contains noise, is called the regression problem. In this report, we apply Fuzzy Support Vector Machines (FSVMs) to the regression problem. The FSVM is an extension of the SVM, which draws considerable attentions in the field of pattern recognition. Since a FSVM deals with each training sample according to the weight or the degree of importance of the sample, it can carry out more flexible pattern classifications than the original SVM. In this report, we first describe how a regression problem is solved by a SVM. Secondly we formulate the method of solving the problem by means of a FSVM and propose a way to determine the weight for each sample. Finally we show via computer simulations that FSVMs have a potential to improve the robustness. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Nonlinear regression problem / Support vector machine / Fuzzy |
Paper # | NLP2003-125 |
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Committee | NLP |
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Conference Date | 2003/11/15(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Application of Fuzzy Support Vector Machines to Nonlinear Regression Problems |
Sub Title (in English) | |
Keyword(1) | Nonlinear regression problem |
Keyword(2) | Support vector machine |
Keyword(3) | Fuzzy |
1st Author's Name | Masashi KURANOSHITA |
1st Author's Affiliation | Graduate School of Information Science and Electrical Engineering, Kyushu University() |
2nd Author's Name | Norikazu TAKAHASHI |
2nd Author's Affiliation | Graduate School of Information Science and Electrical Engineering, Kyushu University |
3rd Author's Name | Tetsuo NISHI |
3rd Author's Affiliation | Graduate School of Information Science and Electrical Engineering, Kyushu University |
Date | 2003/11/15 |
Paper # | NLP2003-125 |
Volume (vol) | vol.103 |
Number (no) | 464 |
Page | pp.pp.- |
#Pages | 6 |
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