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Updated: May 16, 2025

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
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Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Published on: September 26, 2016

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在普遍微分方程中评估不确定性量化

Nina Schmid1, David Fernandes Del Pozo2, Willem Waegeman1

  • 1Life & Medical Sciences (LIMES) Institute, University of Bonn, Bonn, Germany.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
|April 2, 2025
PubMed
概括

这项研究正式确定了普遍微分方程 (UDEs) 的不确定性量化,这是一个强大的科学机器学习方法. 它评估贝叶斯和频率主义方法,以确保复杂系统中可靠的参数和预测性不确定性估计.

关键词:
科学机器学习的科学机器学习不确定性量化不确定性量化普遍的微分方程 普遍的微分方程

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