An Initial Parameter Search for Rapid Concept Drift Adaptation in Deep Neural Networks

Author:

Shah Muhammad Zafran Bin Muhammad Zaly,Zainal Anazida Binti

Publisher

Springer International Publishing

Reference19 articles.

1. Nichol, A., Achiam, J., Schulman, J.: On first-order meta-learning algorithms. arXiv 2018. arXiv preprint arXiv:1803.02999 (2018)

2. Bifet, A., Holmes, G., Pfahringer, B., Kranen, P., Kremer, H., Jansen, T., Seidl, T.: Moa: Massive online analysis, a framework for stream classification and clustering. In: Proceedings of the First Workshop on Applications of Pattern Analysis 2010, pp. 44–50. PMLR

3. Vapnik, V.: The nature of statistical learning theory. Springer science & business media, (2013)

4. Cabral, D., Barros, R.: Concept drift detection based on fisher’s exact test. Inf. Sci. 442–443, 220–234 (2018). https://doi.org/10.1016/j.ins.2018.02.054

5. Barros, R.S.M.d., Santos, S.G.T.d.C.: An overview and comprehensive comparison of ensembles for concept drift. Inf. Fusion 52, 213–244 (2019). https://doi.org/10.1016/j.inffus.2019.03.006

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