2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/131076We deal with the task of supervised learning if the data is of functional type. The crucial point is the choice of the appropriate fitting method (learner). Boosting is a stepwise technique that combines learners in such a way that the composite learner outperforms the single learner. This can be done by either reweighting the examples or with the help of a gradient descent technique. In this paper, we explain how to extend Boosting methods to problems that involve functional data.Statistics Theory62G05;62M20;62G08text