Author(s)

Junwei Zhong, Zhenyan Liu, Yifei Zeng, Lijia Cui and Zizheng Ji

Corresponding Author

Zhenyan Liu

Abstract

Incremental learning is one of the research hotspots in machine learning. In this paper, we view the complex changes of data as three changes that are the change of sample, the change of class and the change of feature, and analyze the popular machine learning classification algorithms which support incremental learning. And then we focus on reviewing the research of three types of incremental learning: Sample Incremental Learning, Class Incremental Learning and Feature Incremental Learning. Finally, we make a prospect on the focus and difficulty of future research of incremental learning.

Keywords

Classification, Sample Incremental Learning, Class Incremental Learning, Feature Incremental Learning.