Author:
Koggalahewa Darshika,Xu Yue,Foo Ernest
Reference27 articles.
1. Widmer, G., Kubat, M.: Learning in the presence of concept drift and hidden contexts. Mach. Learn. 23, 69–101 (1996)
2. Krawczyk, B., Minku, L., Gama, J., Stefanowski, J., Woźniak, M.: Ensemble learning for data stream analysis: a survey. Inf. Fusion. 37, 132–156 (2017)
3. Huang, G., Zhu, Q., Siew, C.: Extreme learning machine: theory and applications. Neurocomputing 70, 489–501 (2006)
4. Yu, S., Wang, X., C. Príncipe, J.: Request-and-reverify: hierarchical hypothesis testing for concept drift detection with expensive labels. In: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (2018)
5. Lu, J., Liu, A., Dong, F., Gu, F., Gama, J., Zhang, G.: Learning under concept drift: a review. IEEE Trans. Knowl. Data Eng. 31(12), 1–1 (2019). https://doi.org/10.1109/TKDE.2018.2876857
Cited by
2 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. Catching Silent Failures: A Machine Learning Model Monitoring and Explainability Survey;2023 OITS International Conference on Information Technology (OCIT);2023-12-13
2. Unsupervised Fraud Detection on Sparse Rating Networks;Communications in Computer and Information Science;2023-12-05