A Algorithm to Incremental Learning with Support Vector Machine and Its Application in Multi-class Classification

摘要

Support vector machine (SVM) is a new statistical learning method. By analyzing the theory and characteristics of SVM, this paper presents an algorithm of incremental learning. This algorithm is tested with multi-class classification and results show that this algorithm reduces the training time. Meanwhile, it keeps the testing accuracy