4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.NE2021★ 4 cited
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…
cs.NE2021
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…