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Updated: Feb 13, 2026

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强大的可信任的冲突的多视图协作对比的学习

Shaobo Hu, Hui Huang, Nan Zhang

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    PubMed
    概括

    本研究介绍了一种强有力的可信的冲突多视图协作对比学习 (RCMCL) 方法,以提高多视图学习的可靠性. 在安全关键的应用中,RCMCL有效地处理相互冲突的数据实例,提高决策准确性和稳定性.

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