Overview of Optimization Algorithms for Large-scale Support Vector Machines
Xuchan Ju, Zhenghao Yan, Tianhe Wang · 2021 International Conference on Data Mining Workshops (ICDMW) · 2021
Support vector machine (SVM) is one of the most classical machine learning algorithms, which performs well in many fields. However, the traditional training algorithms are not satisfactory in dealing with big data. Therefore, many algorithms for large-scale datasets have been proposed. Considering the classification problems, this paper introduces the main SVM training algorithms for large-scale datasets including the optimization methods of binary-class problems and multi-class problems.