A Novel Sparse Least Squares Support Vector Machines

The solution of a Least Squares Support Vector Machine (LS-SVM) suffers from the problem of nonsparseness. The Forward Least Squares Approximation (FLSA) is a greedy approximation algorithm with a least-squares loss function. This paper proposes a new Support Vector Machine for which the FLSA is the...

Full description

Bibliographic Details
Main Authors: Xiao-Lei Xia, Weidong Jiao, Kang Li, George Irwin
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2013/602341