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Updated: Jul 11, 2025

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从非IID数据与分布外样本的灰色学习

Zhilin Zhao, Longbing Cao, Chang-Dong Wang

    IEEE transactions on neural networks and learning systems
    |November 14, 2023
    PubMed
    概括

    本研究介绍了灰色学习 (GL),这是一种用于训练具有不可靠数据的强大神经网络的新方法. GL有效地使用互补标签来改善非独立和相同分布 (非IID) 数据集的模型性能.

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