Since the introduction of support vector machines, we have witnessed the huge development in theory, models, and applications of what is so-called kernel-based methods: advancement in generalization theory, kernel classifiers and regressors and thei
This thesis presents two approaches to how automatic programming can be applied to the well-studied field of classification through the use of the automatic programming system, Automatic Design of Algorithms Through Evolution (ADATE)
