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Updated: Jun 17, 2025

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
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机器学习潜力的空间解决不确定性

Esther Heid1, Johannes Schörghuber1, Ralf Wanzenböck1

  • 1Institute of Materials Chemistry, TU Wien, A-1060 Vienna, Austria.

Journal of chemical information and modeling
|August 7, 2024
PubMed
概括

本研究引入了一种新的方法,通过聚合认识不确定性来准确估计机器学习潜力的错误. 这使得原子模拟的有效主动学习成为可能,改善了数据集组成.

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