An online support vector machine for the open-ended environment

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Xuan Wang, Youlu Xing

Published: 01 Jan 2019, Last Modified: 05 Nov 2025Expert Syst. Appl. 2019EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•An online learning architecture for Support Vector Machine is proposed.•Learn representative prototypes from the input data in an online incremental way.•Works effectively when new stream data and novel class data come.•Much faster than the state-of-the-art SVM and can handle much larger scale problems.