DocumentCode
2630399
Title
Selection of support vector machines parameters for regression using nested grids
Author
Popov, Alexander ; Sautin, Alexander
Author_Institution
Dept. of Software & Database Eng., NSTU, Novosibirsk
fYear
2008
fDate
23-29 June 2008
Firstpage
329
Lastpage
331
Abstract
The paper examines support vector machines for regression problem. Analysis of different grid types for selection of SVM parameters is conducted. Experimental results obtained on the basis of applying nested grids are presented, and efficiency of regression problem solution with various support vector machine parameters values is investigated.
Keywords
regression analysis; support vector machines; SVM parameter selection; nested grids; regression problem; support vector machines; Constraint optimization; Data engineering; Databases; Equations; Information technology; Kernel; Machine learning; Search methods; Support vector machines; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Strategic Technologies, 2008. IFOST 2008. Third International Forum on
Conference_Location
Novosibirsk-Tomsk
Print_ISBN
978-1-4244-2319-4
Electronic_ISBN
978-1-4244-2320-0
Type
conf
DOI
10.1109/IFOST.2008.4602974
Filename
4602974
Link To Document