A real-valued label noise cleaning method based on ensemble iterative filtering with noise score
Author:
Funder
Key Program of National Natural Science Foundation of China
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13042-024-02137-z.pdf
Reference59 articles.
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2. Sáez JA, Corchado E (2019) KSUFS: a novel unsupervised feature selection method based on statistical tests for standard and big data problems. IEEE Access 7:99754–99770
3. Frenay B, Verleysen M (2014) Classification in the presence of label noise: a survey. IEEE Trans Neural Netw Learn Syst 25(5):845–869
4. Zhu X, Wu X (2004) Class noise vs. attribute noise: a quantitative study. Artif Intell Rev 22:177–210
5. Sáez JA, Galar M, Luengo J et al (2014) Analyzing the presence of noise in multi-class problems: alleviating its influence with the one-vs-one decomposition. Knowl Inf Syst 38:179–206
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