Classification in Non-stationary Environments Using Coresets over Sliding Windows-Reference-Cited by-同舟云学术

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Classification in Non-stationary Environments Using Coresets over Sliding Windows

Published:2021 Issue: Volume: Page:126-137
ISSN:0302-9743
Container-title:Advances in Computational Intelligence
language:
Short-container-title:

Author:

Heusinger Moritz,Schleif Frank-Michael

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-85030-2_11

Reference35 articles.

1. Bifet, A., Gavaldà,R., Holmes, G., Pfahringer, B.: Machine Learning for Data Streams with Practical Examples in MOA. MIT Press (2018). https://moa.cms.waikato.ac.nz/book/

2. Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)

3. Gama, J., Zliobaite, I., Bifet, A., Pechenizkiy, M., Bouchachia, A.: A survey on concept drift adaptation. ACM Comput. Surv. 46(4), 1–37 (2014)

4. Advances in Intelligent Systems and Computing;M Heusinger,2020

5. Straat, M., Abadi, F., Göpfert, C., Hammer, B., Biehl, M.: Statistical mechanics of on-line learning under concept drift. Entropy 20(10) (2018)

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1. A Streaming Approach to the Core Vector Machine;Artificial Intelligence and Soft Computing;2023

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