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...
Huvudupphovsmän: | , |
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Materialtyp: | Artikel |
Språk: | English |
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De Gruyter
2019-12-01
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Serie: | Open Physics |
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Länkar: | https://doi.org/10.1515/phys-2019-0103 |