9 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 9 cited
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition
F. O. de Franca, M. Virgolin, M. Kommenda +21
Symbolic regression searches for analytic expressions that accurately describe studied phenomena. The main attraction of this approach is that it returns an interpretable model tha…
cs.PL2022
Data types as a more ergonomic frontend for Grammar-Guided Genetic Programming
Guilherme Espada, Leon Ingelse, Paulo Canelas +2
Genetic Programming (GP) is an heuristic method that can be applied to many Machine Learning, Optimization and Engineering problems. In particular, it has been widely used in Softw…