Adaptive tree-like neural network: Overcoming catastrophic forgetting to classify streaming data with concept drifts-Reference-Cited by-同舟云学术

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Adaptive tree-like neural network: Overcoming catastrophic forgetting to classify streaming data with concept drifts

Published:2024-06 Issue: Volume:293 Page:111636
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Wen YiMin^ORCID,Liu Xiang,Yu Hang^ORCID

Funder

Guangxi Key Laboratory of Image and Graphic Intelligent Processing

Shanghai University

National Natural Science Foundation of China

Guangxi Key Research and Development Program

Publisher

Elsevier BV

Reference58 articles.

1. Incremental weighted ensemble for data streams with concept drift;Jiao;IEEE Trans. Artif. Intell.,2024

2. Online learning: A comprehensive survey;Hoi;Neurocomputing,2021

3. Learning under concept drift: A review;Lu;IEEE Trans. Knowl. Data Eng.,2018

4. G. Hulten, L. Spencer, P. Domingos, Mining time-changing data streams, in: Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2001, pp. 97–106.

5. E-CVFDT: An improving CVFDT method for concept drift data stream;Liu,2013

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