Article ID: | iaor20101507 |
Volume: | 174 |
Issue: | 1 |
Start Page Number: | 83 |
End Page Number: | 101 |
Publication Date: | Feb 2010 |
Journal: | Annals of Operations Research |
Authors: | Tsui Kwok-Leung, Wang Shuchun, Jiang Wei |
Keywords: | classification, support vector machines |
Support vector machine (SVM) has attracted considerable attentions recently due to its successful applications in various domains. However, by maximizing the margin of separation between the two classes in a binary classification problem, the SVM solutions often suffer two serious drawbacks. First, SVM separating hyperplane is usually very sensitive to training samples since it strongly depends on support vectors which are