Kernel Based Data-Adaptive Support Vector Machines for Multi-Class Classification

Kernel Based Data-Adaptive Support Vector Machines for Multi-Class Classification

Imbalanced data exist in many classification problems. The classification of imbalanced data has remarkable challenges in machine learning. The support vector machine (SVM) and its variants are popularly used in machine learning among different classifiers thanks to their flexibility and interpretab...

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Bibliographic Details
Main Authors: Jianli Shao, Xin Liu, Wenqing He
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Mathematics
Subjects:
classification
data-adaptive kernel functions
image data
multi-category classifier
predictive models
support vector machine
Online Access:https://www.mdpi.com/2227-7390/9/9/936

Internet

https://www.mdpi.com/2227-7390/9/9/936

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