摘要
For multi-class classification problem, a novel multiple projection twin support vector machine (Multi-PTSVM) is proposed. Our Multi-PTSVM solves K quadratic programming problems (QPPs) to obtain K projection axes, which is similar to binary PTSVM, but the regularization terms and recursive procedure are introduced for each class, which improve the generalization ability greatly. Comparisons against the Multi-SVM, Multi-TWSVM, Multi-GEPSVM, and our Multi-PTSVM on both synthetic and benchmark datasets indicate that our Multi-PTSVM has its advantages.
- 出版日期2016-10
- 单位浙江工业大学