Dynamic selection of machine learning models for time-series data-Reference-Cited by-同舟云学术

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Dynamic selection of machine learning models for time-series data

Published:2024-04 Issue: Volume:665 Page:120360
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Hananya Rotem^ORCID,Katz Gilad^ORCID

Publisher

Elsevier BV

Reference47 articles.

1. Incremental learning of concept drift in nonstationary environments;Elwell;IEEE Trans. Neural Netw.,2011

2. Dynamic weighted majority: an ensemble method for drifting concepts;Kolter;J. Mach. Learn. Res.,2007

3. Systematic data selection to mine concept-drifting data streams;Wei,2004

4. Mining time-changing data streams;Hulten,2001

5. An overview and comprehensive comparison of ensembles for concept drift;de Barros;Inf. Fusion,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Elastic online deep learning for dynamic streaming data;Information Sciences;2024-08

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