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...

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Bibliografiska uppgifter
Huvudupphovsmän: Zhao Jianhua, Liu Ning
Materialtyp: Artikel
Språk:English
Publicerad: De Gruyter 2019-12-01
Serie:Open Physics
Ämnen:
Länkar:https://doi.org/10.1515/phys-2019-0103