Could machine learning fuel a reproducibility crisis in science?

被引：0

作者：

Elizabeth Gibney

机构：

来源：

Nature | 2022年 / 608卷

关键词：

Machine learning; Publishing; Mathematics and computing;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

‘Data leakage’ threatens the reliability of machine-learning use across disciplines, researchers warn.

引用

页码：250 / 251

页数：1

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