9 citations · 14 across the 3 of their papers we have counts for
3 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.NE2022
Initialisation and Grammar Design in Grammar-Guided Evolutionary Computation
Grant Dick, Peter A. Whigham
Grammars provide a convenient and powerful mechanism to define the space of possible solutions for a range of problems. However, when used in grammatical evolution (GE), great care…
cs.NE2017★ 5 cited
Interval Arithmetic and Interval-Aware Operators for Genetic Programming
Grant Dick
Symbolic regression via genetic programming is a flexible approach to machine learning that does not require up-front specification of model structure. However, traditional approac…