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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2008
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sg-ntu-dr.10356-25822023-03-04T00:31:18Z Efficient model and feature selection for SVM in biomedical data analysis Zhao, Ying. Kwoh, Chee Keong School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences 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. Master of Engineering (SCE) 2008-09-17T09:05:47Z 2008-09-17T09:05:47Z 2005 2005 Thesis http://hdl.handle.net/10356/2582 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences Zhao, Ying. Efficient model and feature selection for SVM in biomedical data analysis |
description |
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. |
author2 |
Kwoh, Chee Keong |
author_facet |
Kwoh, Chee Keong Zhao, Ying. |
format |
Theses and Dissertations |
author |
Zhao, Ying. |
author_sort |
Zhao, Ying. |
title |
Efficient model and feature selection for SVM in biomedical data analysis |
title_short |
Efficient model and feature selection for SVM in biomedical data analysis |
title_full |
Efficient model and feature selection for SVM in biomedical data analysis |
title_fullStr |
Efficient model and feature selection for SVM in biomedical data analysis |
title_full_unstemmed |
Efficient model and feature selection for SVM in biomedical data analysis |
title_sort |
efficient model and feature selection for svm in biomedical data analysis |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/2582 |
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1759854313509748736 |