Robust Rescaled Hinge Loss Twin Support Vector Machine for Imbalanced Noisy Classification

Robust Rescaled Hinge Loss Twin Support Vector Machine for Imbalanced Noisy Classification

Support vector machine (SVM) and twin SVM (TWSVM) are sensitive to the noisy classification, due to the unlimited measures in their losses, especially for imbalanced classification problem. In this paper, by combining the advantages of the correntropy induced loss function (C-Loss) and the hinge los...

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Bibliographic Details
Main Authors: Ling-Wei Huang, Yuan-Hai Shao, Jun Zhang, Yu-Ting Zhao, Jia-Ying Teng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Twin support vector machine
imbalanced classification
noisy classification
robust classification
rescaled hinge loss function
Online Access:https://ieeexplore.ieee.org/document/8704928/

Internet

https://ieeexplore.ieee.org/document/8704928/

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