Semi-supervised Classification Based Mixed Sampling for Imbalanced Data
In practical application, there are a large amount of imbalanced data containing only a small number of labeled data. In order to improve the classification performance of this kind of problem, this paper proposes a semi-supervised learning algorithm based on mixed sampling for imbalanced data class...
| Päätekijät: | , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
| Julkaistu: |
De Gruyter
2019-12-01
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| Sarja: | Open Physics |
| Aiheet: | |
| Linkit: | https://doi.org/10.1515/phys-2019-0103 |