2 papers
cs.LG2026
Random Symbolic Boosting: A Geometric Approach to Symbolic Regression
José R. Ortegaa, José Manuel Muñoz Contreras, Leonardo Trujillo
Symbolic models offer interpretability, but their construction through generational evolution can be computationally expensive. This article presents Random Symbolic Boosting (RSB)…
cs.NE2021
GSGP-CUDA -- a CUDA framework for Geometric Semantic Genetic Programming
Leonardo Trujillo, Jose Manuel Muñoz Contreras, Daniel E Hernandez +2
Geometric Semantic Genetic Programming (GSGP) is a state-of-the-art machine learning method based on evolutionary computation. GSGP performs search operations directly at the level…