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Survey of incremental learning

机译:增量学习调查

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摘要

Incremental learning has become a new research hotspot in the field of machine learning. Compared with traditional machine learning, incremental learning can continuously learn new knowledge from new samples and preserve most of the knowledge that has been learned before. This paper is an overview of the existing incremental learning, and introduces the current popular incremental learning methods from incremental supervisory learning and incremental unsupervised learning, and shows the potential in application. Finally, online incremental research is prospected in this paper.
机译:增量学习已经成为机器学习领域的一个新的研究热点。与传统的机器学习相比,增量学习可以不断地从新样本中学习新知识,并保留以前学过的大多数知识。本文概述了现有的增量学习,从增量监督学习和增量无监督学习中介绍了当前流行的增量学习方法,并展示了其应用潜力。最后,本文对在线增量研究进行了展望。

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