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

• Published in: Mathematics (Basel) Vol. 9; no. 9; p. 936
• Main Authors: Shao, Jianli, Liu, Xin, He, Wenqing
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2021
• Subjects: Artificial intelligence; Bias; Classification; Data mining; Data structures; data-adaptive kernel functions; Food science; image data; Kernel functions; Machine learning; Medical research; multi-category classifier; predictive models; support vector machine; Support vector machines

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...