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–...
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Bibliographic Details
Main Authors: |
Guramand, S.K.,
Saedudin, R.D.R.,
Hassan, R.,
Kasim, S.,
Ramlan, R.,
Salim, B. W. |
Format: | Article
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Language: | English |
Published: |
Triveni Enterprises, Lucknow (India)
2019
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Subjects: | |
Online Access: | http://eprints.uthm.edu.my/4626/1/AJ%202019%20%28299%29.pdf
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