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A Survey on Incremental Learning

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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.

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Publication details

DOI
10.25236/cape.2017.034
OpenAlex
W3168472610
Document type
conference-paper
Language
EN
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