Concept Drift Detection Using Autoencoders in Data Streams Processing-Reference-Cited by-同舟云学术

Concept Drift Detection Using Autoencoders in Data Streams Processing

Published:2020 Issue: Volume: Page:124-133
ISSN:0302-9743
Container-title:Artificial Intelligence and Soft Computing
language:
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Author:

Jaworski Maciej^ORCID,Rutkowski Leszek^ORCID,Angelov Plamen^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-61401-0_12

Reference41 articles.

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3. Baena-Garcıa, M., del Campo-Ávila, J., Fidalgo, R., Bifet, A., Gavalda, R., Morales-Bueno, R.: Early drift detection method. In: Fourth International Workshop on Knowledge Discovery from Data Streams, vol. 6, pp. 77–86 (2006)

4. Bengio, Y.: Learning deep architectures for AI. Found. Trends Mach. Learn. 2(1), 1–127 (2009)

5. Bengio, Y., Lamblin, P., Popovici, D., Larochelle, H.: Greedy layer-wise training of deep networks. In: Proceedings of the 19th International Conference on Neural Information Processing Systems. NIPS 2006, pp. 153–160. MIT Press, Cambridge, MA, USA (2006)

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