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| Presentation | 2007-11-19 10:40 Midpoint-Validation Method for Support Vector Machine Shota Ikubo, Hiroki Tamura, Koichi Tanno (Miyazaki Univ.)  NC2007-65 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, support vector machine (abbr. SVM) is one of the most influential and powerful tools for solving classification. The most attractive notion of SVM is the idea of the large margin. However, many experiment results showed that the boundary line created by SVM has deviation. Therefore, SVM uses the cross-validation technique in many cases. In this paper, we propose the method of decreasing the deviation of SVM by creating a midpoint data. The proposed method creates midpoint data and adjusts parameter of SVM by midpoint data. We compare its performance with those of the original SVM, Multilayer Perceptron (abbr. MLP), Radial Basis Function Neural Network (abbr. RBF), and tested our proposed method on several 2-class pattern classification problems. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Support Vector Machine / Neural Network / Pattern Classification Problem / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 107, no. 328, NC2007-65, pp. 61-64, Nov. 2007. | |
| Paper # | NC2007-65 | |
| Date of Issue | 2007-11-11 (NC) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NC2007-65 |
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| Conference Information | |
| Committee | NC |
| Conference Date | 2007-11-18 - 2007-11-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Saga Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | neuro-hardware, and general |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2007-11-NC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Midpoint-Validation Method for Support Vector Machine |
| Sub Title (in English) | |
| Keyword(1) | Support Vector Machine |
| Keyword(2) | Neural Network |
| Keyword(3) | Pattern Classification Problem |
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| 1st Author's Name | Shota Ikubo |
| 1st Author's Affiliation | University of Miyazaki (Miyazaki Univ.) |
| 2nd Author's Name | Hiroki Tamura |
| 2nd Author's Affiliation | University of Miyazaki (Miyazaki Univ.) |
| 3rd Author's Name | Koichi Tanno |
| 3rd Author's Affiliation | University of Miyazaki (Miyazaki Univ.) |
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| Speaker | Author-1 |
| Date Time | 2007-11-19 10:40:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2007-65 |
| Volume (vol) | vol.107 |
| Number (no) | no.328 |
| Page | pp.61-64 |
| #Pages | 4 |
| Date of Issue | 2007-11-11 (NC) |
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