74 citations · 80 across the 3 of their papers we have counts for
3 papers
Shape-constrained Symbolic Regression with NSGA-III
Christian Haider
Shape-constrained symbolic regression (SCSR) allows to include prior knowledge into data-based modeling. This inclusion allows to ensure that certain expected behavior is better re…
Using Shape Constraints for Improving Symbolic Regression Models
Christian Haider, Fabricio Olivetti de França, Bogdan Burlacu +1
We describe and analyze algorithms for shape-constrained symbolic regression, which allows the inclusion of prior knowledge about the shape of the regression function. This is rele…
Shape-constrained Symbolic Regression -- Improving Extrapolation with Prior Knowledge
Gabriel Kronberger, Fabricio Olivetti de França, Bogdan Burlacu +2
We investigate the addition of constraints on the function image and its derivatives for the incorporation of prior knowledge in symbolic regression. The approach is called shape-c…