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Found 4 papers, 3 papers with code
Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing
Symbolic regression (SR) searches for parametric models that accurately fit a dataset, prioritizing simplicity and interpretability.
Minimum variance threshold for epsilon-lexicase selection
Parent selection plays an important role in evolutionary algorithms, and many strategies exist to select the parent pool before breeding the next generation.
Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set
This paper proposes a benchmark scheme to evaluate explanatory methods to explain regression models, mainly symbolic regression models.
Interaction-Transformation Evolutionary Algorithm for Symbolic Regression
The Interaction-Transformation (IT) is a new representation for Symbolic Regression that restricts the search space into simpler, but expressive, function forms.
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