Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/2582
Title: Efficient model and feature selection for SVM in biomedical data analysis
Authors: Zhao, Ying.
Keywords: DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Issue Date: 2005
Abstract: 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.
URI: http://hdl.handle.net/10356/2582
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

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