This paper investigates the effects of early stopping as a
method to counteract overfitting in evolutionary data modelling using
Genetic Programming. Early stopping has been proposed as a method
to avoid model overtraining, ...
Decision tree learning is one of the most widely used and practical methods for inductive inference. We present a novel method that increases the generalisation of genetically-induced classification trees,
which employ ...
This chapter explores the issue of overfitting in grammar-based Genetic Programming. Tools such as Genetic Programming are well suited to problems in finance where we seek to learn or induce a model from data. Models that ...