Efficient model and feature selection for SVM in biomedical data analysis

Efficient model and feature selection for SVM in biomedical data analysis

In this thesi, we proposed to improve the model selection techniques for L2-SVMs and LS-SVMs. A new feature seletion algorithm is also proposed for LS-SVMs.

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Bibliographic Details
Main Author: Zhao, Ying.
Other Authors: Kwoh, Chee Keong
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Online Access:http://hdl.handle.net/10356/2582
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Institution: Nanyang Technological University
Description
Summary:In this thesi, we proposed to improve the model selection techniques for L2-SVMs and LS-SVMs. A new feature seletion algorithm is also proposed for LS-SVMs.

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