Adaptive FH-SVM for Imbalanced Classification
Support vector machines (SVMs), powerful learning methods, have been popular among machine learning researches due to their strong performance on both classification and regression problems. However, traditional SVM making use of Hinge Loss cannot deal with class imbalance problems, because it appli...
| Main Authors: | , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
IEEE
2019-01-01
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| 叢編: | IEEE Access |
| 主題: | |
| 在線閱讀: | https://ieeexplore.ieee.org/document/8835917/ |