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cs.NE2022★ 5 cited
Correlation versus RMSE Loss Functions in Symbolic Regression Tasks
Nathan Haut, Wolfgang Banzhaf, Bill Punch
The use of correlation as a fitness function is explored in symbolic regression tasks and the performance is compared against the typical RMSE fitness function. Using correlation w…
cs.LG2022
Active Learning Improves Performance on Symbolic RegressionTasks in StackGP
Nathan Haut, Wolfgang Banzhaf, Bill Punch
In this paper we introduce an active learning method for symbolic regression using StackGP. The approach begins with a small number of data points for StackGP to model. To improve…