EconPapers    
Economics at your fingertips  
 

A DC programming approach for feature selection in support vector machines learning

Hoai Le Thi (), Hoai Le (), Van Nguyen () and Tao Pham Dinh ()

Advances in Data Analysis and Classification, 2008, vol. 2, issue 3, pages 259-278

Keywords: Feature selection; SVM; Nonconvex optimisation; DC programming; DCA; 90C26; 62-07 (search for similar items in EconPapers)
Date: 2008
View list of references

Downloads: (external link)
http://hdl.handle.net/10.1007/s11634-008-0030-7 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:spr:advdac:v:2:y:2008:i:3:p:259-278

Ordering information: This journal article can be ordered from
http://link.springer.de/orders.htm

Access Statistics for this article

Advances in Data Analysis and Classification is edited by H.-H. Bock, W. Gaul, A. Okada and M. Vichi

More articles in Advances in Data Analysis and Classification from Springer
Series data maintained by Christopher F Baum ().

 
Page updated 2009-11-24
Handle: RePEc:spr:advdac:v:2:y:2008:i:3:p:259-278