Nathan Doumèche, Francis Bach, Claire Boyer, Gérard Biau
TL;DR使用物理信息对经验风险进行正则化可以有利于估计器的统计性能。
Abstract
physics-informed machine learning combines the expressiveness of data-based approaches with the interpretability of physical models. In this context, we consider a general regression problem where the empirical r