结构感知学习

A machine learning paradigm that explicitly incorporates prior knowledge about the structural relationships or topological properties of the data into the learning process to improve model performance and generalization. / 一种机器学习范式，它显式地将关于数据结构关系或拓扑属性的先验知识纳入学习过程中，以提高模型性能和泛化能力。

Knowledge type

数学理论

First proposed or discovered

Proposer

Turkey Farm member

Creator

农场主

Last updated

2026-11-09 20:05:39