22 citations · 28 across the 7 of their papers we have counts for
3 papers · 1 filter
Current Challenges of Symbolic Regression: Optimization, Selection, Model Simplification, and Benchmarking
Guilherme Seidyo Imai Aldeia
Symbolic Regression (SR) is a regression method that aims to discover mathematical expressions that describe the relationship between variables, and it is often implemented through…
Minimum variance threshold for epsilon-lexicase selection
Guilherme Seidyo Imai Aldeia, Fabricio Olivetti de Franca, William G. La Cava
Parent selection plays an important role in evolutionary algorithms, and many strategies exist to select the parent pool before breeding the next generation. Methods often rely on…
Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing
Guilherme Seidyo Imai Aldeia, Fabricio Olivetti de Franca, William G. La Cava
Symbolic regression (SR) searches for parametric models that accurately fit a dataset, prioritizing simplicity and interpretability. Despite this secondary objective, studies point…