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Estimate of error bounds in the improved support vector regression
作者姓名:SUN Yanfeng  LIANG Yanchun  WU Chunguo  YANG Xiaowei  LEE Heow Pueh  LIN Wu Zhong
作者单位:College of Computer Science and Technology,Jilin University,Changchun 130012,China,College of Computer Science and Technology,Jilin University,Changchun 130012,China;Institute of High Performance Computing,Singapore 117528,Singapore,College of Computer Science and Technology,Jilin University,Changchun 130012,China;Institute of High Performance Computing,Singapore 117528,Singapore,Department of Applied Mathematics,South China University of Technology,Guangzhou 510640,China;Centre for ACES,Department of Mechanical Engineering,National University of Singapore,119260,Singapore,Institute of High Performance Computing,Singapore 117528,Singapore,Institute of High Performance Computing,Singapore 117528,Singapore
基金项目:the Science-Technology Development Project of Jilin Province of China,教育部重点工程基金,国家自然科学基金
摘    要:An estimate of a generalization error bound of the improved support vector regression(SVR)is provided based on our previous work.The boundedness of the error of the improved SVR is proved when the algorithm is applied to the function approximation.

关 键 词:support  vector  regression(SVR)  generalization  error  approximation  error  estimation  error

Estimate of error bounds in the improved support vector regression
SUN Yanfeng,LIANG Yanchun,WU Chunguo,YANG Xiaowei,LEE Heow Pueh,LIN Wu Zhong.Estimate of error bounds in the improved support vector regression[J].Progress in Natural Science,2004,14(4):362-364.
Authors:SUN Yanfeng  LIANG Yanchun  WU Chunguo  Yang Xiaowei  LEE Heow Pueh  LIN Wu Zhong
Institution:1. College of Computer Science and Technology,Jilin University,Changchun 130012,China
2. College of Computer Science and Technology,Jilin University,Changchun 130012,China;Institute of High Performance Computing,Singapore 117528,Singapore
3. Department of Applied Mathematics,South China University of Technology,Guangzhou 510640,China;Centre for ACES,Department of Mechanical Engineering,National University of Singapore,119260,Singapore
4. Institute of High Performance Computing,Singapore 117528,Singapore
Abstract:An estimate of a generalization error bound of the improved support vector regression(SVR)is provided based on our previous work.The boundedness of the error of the improved SVR is proved when the algorithm is applied to the function approximation.
Keywords:support vector regression(SVR)  generalization error  approximation error  estimation error
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