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Label Noise Cleaning with an Adaptive Ensemble Method Based on Noise Detection Metric
Real-world datasets are often contaminated with label noise; labeling is not a clear-cut process and reliable methods tend to be expensive or time-consuming. Depending on the learning technique used, such label noise is potentially harmful, requiring an increased size of the training set, making the...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7727820/ https://www.ncbi.nlm.nih.gov/pubmed/33255363 http://dx.doi.org/10.3390/s20236718 |