Cart (Loading....) | Create Account
Close category search window

A method to choose kernel function and its parameters for support vector machines

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Liu, H.-j. ; Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China ; Yao-Nan Wang ; Xiao-Fen Lu

The support vector machines are the new statistical learning algorithm which is developed in recent years. They have some advantages in many regions like pattern recognition. The kernel function is important to its classification ability. This paper presents a crossbreed genetic algorithm based method to choose the kernel function and its parameters. The crossbreed genetic algorithm uses two fitness functions which are produced according to the two criterion of SVM's performance. The experiments proved that this algorithm can find effectively the optimal kernel function and its parameters, and it is helpful to increase the support vector machines' performance in fact.

Published in:

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on  (Volume:7 )

Date of Conference:

18-21 Aug. 2005

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.