Could machine learning fuel a reproducibility crisis in science?

被引：0

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作者：

Elizabeth Gibney

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来源：

Nature | 2022年 / 608卷

关键词：

Machine learning; Publishing; Mathematics and computing;

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摘要：

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

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页码：250 / 251

页数：1

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