具有高维特征的双稳健增强模型精度转移推理

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Doudou Zhou, Molei Liu, Mengyan Li, Tianxi Cai
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引用次数: 0

摘要

迁移学习对于利用带标记的源数据训练可泛化到无标记目标人群的模型至关重要,尤其是在现实世界的研究中,因为在现实世界中,标记稀缺且共变因素会发生变化...
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features
Transfer learning is crucial for training models that generalize to unlabeled target populations using labeled source data, especially in real-world studies where label scarcity and covariate shift...
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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