A Novel Support Vector Machine with Class-Dependent Features for Biomedical Data

A Novel Support Vector Machine with Class-Dependent Features for Biomedical Data

Nina Zhou (Nanyang Technological University, Singapore) and Lipo Wang (Nanyang Technological University, Singapore)
Copyright: © 2008 |Pages: 15
DOI: 10.4018/978-1-59904-807-9.ch013
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Abstract

This chapter introduces an approach to class-dependent feature selection and a novel support vector machine (SVM). The relative background and theory are presented for describing the proposed method, and real applications of the method on several biomedical datasets are demonstrated in the end. The authors hope this chapter can provide readers a different view of feature selection method and also the classifier so as to promote more promising methods and applications.

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