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First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06)
Research on an Algorithm of Support Vector Stepwise Regression
Beijing, China
August 30-September 01
ISBN: 0-7695-2616-0
ASCII Text
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Shaohua Zeng, Yan Wei, Tingcai Duan, Changxiu Cao, "Research on an Algorithm of Support Vector Stepwise Regression," Innovative Computing ,Information and Control, International Conference on, vol. 3, pp. 452-458, First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06), 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICICIC.2006.504,
author = {Shaohua Zeng and Yan Wei and Tingcai Duan and Changxiu Cao},
title = {Research on an Algorithm of Support Vector Stepwise Regression},
journal ={Innovative Computing ,Information and Control, International Conference on},
volume = {3},
year = {2006},
isbn = {0-7695-2616-0},
pages = {452-458},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.504},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Innovative Computing ,Information and Control, International Conference on
TI - Research on an Algorithm of Support Vector Stepwise Regression
SN - 0-7695-2616-0
SP452
EP458
A1 - Shaohua Zeng,
A1 - Yan Wei,
A1 - Tingcai Duan,
A1 - Changxiu Cao,
PY - 2006
KW - null
VL - 3
JA - Innovative Computing ,Information and Control, International Conference on
ER -
 
Shaohua Zeng, Chongqing University, China
Yan Wei, Chongqing University, China
Tingcai Duan, Chongqing University, China
Changxiu Cao, Chongqing University, China
SVM(Support Vector Machine) is an important tool of solving the nonlinear problem. This paper introduces the methods of constructing Support Vector Stepwise Regression ----starting from the Multiple Linear Regression Model of the sample subset to search the Support Vectors. It provides a speedy algorithm of Support Vector Stepwise Regression with the aim of decreasing the size of the Kernel Matrix and reducing the computing complexity of Support Vector Stepwise Regression, analyzes the complexity of the algorithm, and illustrates an application example.
Citation:
Shaohua Zeng, Yan Wei, Tingcai Duan, Changxiu Cao, "Research on an Algorithm of Support Vector Stepwise Regression," icicic, vol. 3, pp.452-458, First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06), 2006
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