Advanced search
Publication Cover
Communications in Statistics - Simulation and Computation Volume 38, 2009 - Issue 8
Submit an article Journal homepage
202
Views
8
CrossRef citations to date
0
Altmetric
Original Articles

Variable Selection for Support Vector Machines

Surette Bierman Department of Statistics and Actuarial Science, University of Stellenbosch, Matieland, South AfricaCorrespondence[email protected]
&
Sarel Steel Department of Statistics and Actuarial Science, University of Stellenbosch, Matieland, South Africa
Pages 1640-1658 | Received 26 Jan 2009, Accepted 27 May 2009, Published online: 07 Jul 2009

Citations (8)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (1)

S.J. Steel, N. Louw & S. Bierman. (2011) Variable Selection for Kernel Classification. Communications in Statistics - Simulation and Computation 40:2, pages 229-246.
Read now

Articles from other publishers (7)

Xin Huang, Qing-Song Xu, Yong-Huan Yun, Jian-Hua Huang & Yi-Zeng Liang. (2015) Weighted variable kernel support vector machine classifier for metabolomics data analysis. Chemometrics and Intelligent Laboratory Systems 146, pages 365-370.
Crossref
Özden Gür Ali & Kübra Yaman. (2013) Selecting rows and columns for training support vector regression models with large retail datasets. European Journal of Operational Research 226:3, pages 471-480.
Crossref
Xin Huang, Dong‐Sheng Cao, Qing‐Song Xu & Yi‐Zeng Liang. (2013) A novel tree kernel partial least squares for modeling the structure–activity relationship. Journal of Chemometrics 27:3-4, pages 43-49.
Crossref
Xin Huang, Dong-Sheng Cao, Qing-Song Xu, Liang Shen, Jian-Hua Huang & Yi-Zeng Liang. (2013) A novel tree kernel support vector machine classifier for modeling the relationship between bioactivity and molecular descriptors. Chemometrics and Intelligent Laboratory Systems 120, pages 71-76.
Crossref
Dong-Sheng Cao. 2011. Support Vector Machines and Their Application in Chemistry and Biotechnology. Support Vector Machines and Their Application in Chemistry and Biotechnology 15 48 .
Guang‐Hui Fu, Dong‐Sheng Cao, Qing‐Song Xu, Hong‐Dong Li & Yi‐Zeng Liang. (2011) Combination of kernel PCA and linear support vector machine for modeling a nonlinear relationship between bioactivity and molecular descriptors. Journal of Chemometrics 25:2, pages 92-99.
Crossref
Surette Oosthuizen & Sarel Steel. 2010. Advances in Data Analysis, Data Handling and Business Intelligence. Advances in Data Analysis, Data Handling and Business Intelligence 157 166 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.