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Updated: Jul 11, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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在原子机器学习模型中,局部预测的稳定性.

Sanggyu Chong1, Federico Grasselli1, Chiheb Ben Mahmoud1

  • 1Laboratory of Computational Science and Modeling, Institute of Materials, École Polytechnique Fédérale de Lausanne, Lausanne 1015, Switzerland.

Journal of chemical theory and computation
|November 10, 2023
PubMed
概括

这项研究引入了一个度量,局部预测刚性 (LPR),以评估化学和材料科学中使用的机器学习模型的稳定性. 提高LPR可以提高模型的可靠性和可解释性.

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