GMM discriminant analysis with noisy label for each class
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-020-05038-8.pdf
Reference47 articles.
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3. Brodley CE, Friedl MA (1999) Identifying mislabeled training data. J Artif Intell Res 11(1):131–167
4. Libralon GL, Carvalho ACPDLFD, Lorena AC (2009) Pre-processing for noise detection in gene expression classification data”. J Brazil Comput Soc 15(1):3–11
5. Abellán J, Masegosa AR (2010) Bagging decision trees on data sets with classification noise. In: Proceedings of foundations of information and knowledge systems, 6th international symposium, FoIKS 2010, Sofia, Bulgaria, Springer, pp 248–265
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