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Jun, 2024
Deriva-ML:一种连续的FAIRness方法用于可重复机器学习模型
Deriva-ML: A Continuous FAIRness Approach to Reproducible Machine Learning Models
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Zhiwei Li, Carl Kesselman, Mike D'Arch, Michael Pazzani, Benjamin Yizing Xu
TL;DR
提出了一种基于FAIR原则的数据管理工具架构和实现,通过两个案例展示了如何利用这些工具提高基于机器学习的科学研究的质量。
Abstract
Increasingly,
artificial intelligence
(AI) and
machine learning
(ML) are used in eScience applications [9]. While these approaches have great potential, the literature has shown that ML-based approaches frequentl
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