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

Nathan Haut, Wolfgang Banzhaf, Bill Punch

This paper examines various methods of computing uncertainty and diversity for active learning in genetic programming. We found that the model population in genetic programming can…