Divergent-GAN for Positive Unlabeled learning
收藏DataCite Commons2026-01-07 更新2026-05-05 收录
下载链接:
https://service.tib.eu/ldmservice/dataset/8378cfb0-3e91-449f-bab3-8308dc5196ea
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资源简介:
The proposed approach incorporates a biased PU risk into a generic GAN framework to guide the generator convergence towards the negative samples distribution.
提供机构:
TIB
创建时间:
2024-12-02



