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: | Thesis |
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2008
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| Online Access: | https://hdl.handle.net/10356/3452 |