相关实验视频

多样化和征服:为具有异常值的强大半监督学习提供开放式不同意见

Heejo Kong, Sung-Jin Kim, Gunho Jung

    IEEE transactions on neural networks and learning systems
    |March 28, 2025
    PubMed
    概括

    本研究介绍了多元化和征服 (DAC) 框架,以提高半监督学习 (SSL) 对未标记数据中异常值的稳定性. 通过利用多个模型之间的分歧,DAC有效地识别未知类,优于现有方法.

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