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Updated: Jun 16, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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EviD-GAN:通过无限的歧视因素以微不足道的成本来改进GAN

Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao

    IEEE transactions on neural networks and learning systems
    |August 19, 2024
    PubMed
    概括

    生成对抗网络的证据歧视器 (EviD-GAN) 学习模型和数据的不确定性,以微不足道的计算成本提高GAN性能. 这种方法提高了生成的样本质量,并优于现有的多差异化模型.

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