Variable selection for support vector machine based multisensor systems

2007 ◽  
Vol 122 (1) ◽  
pp. 259-268 ◽  
Author(s):  
O. Gualdrón ◽  
J. Brezmes ◽  
E. Llobet ◽  
A. Amari ◽  
X. Vilanova ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Variable Selection ◽  
Support Vector ◽  
Multisensor Systems ◽  
Selection For

Variable Selection in Proteomic Profile Classification by Interval Support Vector Machines (iSVM)

2014 ◽  
Vol 556-562 ◽  
pp. 347-350
Author(s):  
Xiao Li Yang ◽  
Huan Yun He
Keyword(s):  
Support Vector Machine ◽  
Variable Selection ◽  
Support Vector ◽  
Proteomic Profile ◽  
Error Level ◽  
Full Spectrum ◽  
Local Modeling ◽  
Svm Model ◽  
Vector Machines ◽  
Selection For

For variable selection in proteomic profile classification, we present a new local modeling procedure called interval support vector machine (iSVM). This procedure builds a series of SVM models in a window that moves over the whole spectral region and then locates useful spectral intervals in terms of the least complexity of SVM models reaching a desired error level. We applied iSVM in variable selection for proteomic profile classification. The results show that the proposed procedure are very promising for classification target-based variable selection and obtain much better classification than full-spectrum SVM model.

Sign in / Sign up

Export Citation Format

Share Document