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Updated: May 23, 2025

An R-Based Landscape Validation of a Competing Risk Model
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数据驱动模型的前景确定性

Qais Yousef1, Pu Li2

  • 1Group of Process Optimization, Institute for Automation and Systems Engineering, Technische Universität Ilmenau, P.O. Box 100565, 98684, Ilmenau, Germany. qais.yousef@tu-ilmenau.de.

Scientific reports
|March 11, 2025
PubMed
概括

本研究引入了一种新的方法来量化数据驱动模型中的输出确定性,解决输入不确定性. 该方法通过评估输出信心来增强模型的稳定性,提高现实应用中的可靠性.

关键词:
数据驱动模型是基于数据的模型.分布变化的变化.预期理论的前景理论.不确定性 不确定性

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