Journal
APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY
Volume 21, Issue 2, Pages 111-136Publisher
WILEY
DOI: 10.1002/asmb.537
Keywords
v-support vector machines; support vector regression; support vector implementation; statistical learning theory; positive definite kernels
Ask authors/readers for more resources
We briefly describe the main ideas of statistical learning theory, support vector machines (SVMs), and kernel feature spaces. We place particular emphasis on a description of the so-called v-SVM, including details of the algorithm and its implementation, theoretical results, and practical applications. Copyright (c) 2005 John Wiley & Sons, Ltd.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
