Structural Risk Minimization-Driven Genetic Programming for Enhancing Generalization in Symbolic Regression

摘要

Generalization ability, which reflects the prediction ability of a learned model, is an important property in genetic programming (GP) for symbolic regression. Structural risk minimization (SRM) is a framework providing a reliable estimation of the genera