Nathan Haut

Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression

2024 · IEEE Transactions on Evolutionary Computation

This article examines various methods of computing uncertainty and diversity for active learning in genetic programming. We found that the model population in genetic programming can be exploited to select informative training data points by …