Kernel machines and classifier ensemble learning for biomedical applications
This thesis addressed a type of imbalanced data problem encountered in many biomedical applications where one category of data is compactly clustered and the other category of data is scattered in the input space. A new Hybrid Kernel Machine Ensemble (HKME) is proposed to address this problem by int...
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Format: | Theses and Dissertations |
Published: |
2008
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Online Access: | https://hdl.handle.net/10356/3452 |
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Institution: | Nanyang Technological University |
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