Incremental Classifier in the Semi Supervised Learning Environment
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-36402-0_21
Reference12 articles.
1. Rahman, Md.G., ZahidulIslam, Md.: Adaptive decision forest: an incremental machine learning framework. Pattern Recognit. 122, 108345 (2022). https://doi.org/10.1016/j.patcog.2021.108345
2. Zhou, D.W., Yang, Y., Zhan, D.C.: Learning to classify with incremental new class. IEEE Trans. Neural Netw. Learn. Syst. 33(6), 2429–2443 (2022)
3. Zhang, S.S., Li, J.W., Zuo, X.: Adaptive online incremental learning for evolving data streams. Appl. Soft Comput. 105, 107255 (2021). https://doi.org/10.1016/j.asoc.2021.107255
4. Zhou, P., Wang, N., Zhao, S., Zhang, Y., Wu, X.: Difficult novel class detection in semi supervised streaming data. IEEE Trans. Neural Netw. Learn. Syst. (2022). https://doi.org/10.1109/TNNLS.2022.3213682
5. Lecture Notes in Computer Science;FY Wang,2022
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