双重强大的增强模型精度转移推理与高维特征

Doudou Zhou1,2, Molei Liu3, Mengyan Li4

  • 1Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.

概括

本研究介绍了DRAMATIC,这是一种用于估计转移学习中的模型准确性的新方法. 它使用标记源数据准确评估新种群中的模型性能,解决标签稀缺性和协变量转移问题.

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