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Updated: Jan 14, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Published on: December 6, 2024

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使用AutoML进行材料科学中小样本回归的积极学习策略的综合基准

Jinghou Bi1, Yuanhao Xu2, Felix Conrad2

  • 1Faculty of Mechanical Science and Engineering, Dresden University of Technology DE, Dresden, 01069, Germany. jinghou.bi@tu-dresden.de.

Scientific reports
|October 23, 2025
PubMed
概括

自动机器学习 (AutoML) 与主动学习 (AL) 结合,可显著提高材料科学模型的数据效率. 不确定性驱动和多样性混合AL策略最初在选择信息样本方面表现优于其他策略.

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