Torsten Hothorn, Peter Buehlmann, Thomas Kneib, Matthias Schmid
and Benjamin Hofner
Functional gradient descent algorithm (boosting) for
optimizing general risk functions utilizing component-wise
(penalised) least squares estimates or regression trees as
base-learners for fitting generalized linear, additive and
interaction models to potentially high-dimensional data.