By Topic

A Comparative Study of Four Smooth Support Vector Regressions

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

2 Author(s)
Jindong Shen ; Dept. of Inf. & Math. Sci., China Jiliang Univ., Hangzhou, China ; Feilong Cao

Researching smooth support vector machine for regression (SVR) is an active field in data mining. This paper presents a comparison among four smooth SVRs , epsilon-SSVR, 1st-order polynomial smooth SVR (1PSSVR), 2nd-order polynomial smooth SVR (2PSSVR) and third-order spline smooth SVR (TSSSVR). Accuracy, convergence speed and computational complexity of these regressions are compared.

Published in:

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Date of Conference:

19-20 Dec. 2009