Optimized bio-inspired kernels with twin support vector machine using low identity sequences to solve imbalance multiclass classification
The function of enzymes is performed differently depending on their bio-chemical mechanisms and important to the prediction of protein structure and function. In order to overcome the weaknesses of imbalance data distribution in subclasses prediction we proposed Bio-Twin Support Vector Machine (Bio-...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Triveni Enterprises
2019
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| Subjects: | |
| Online Access: | http://eprints.utm.my/88772/1/SKGuramand2019_OptimizedBioInspiredKernelswithTwinSupport.pdf |