Peter Bühlmann
Boosting Methods: Why They Can Be Useful for High-Dimensional Data
******************************************************************

We present an extended abstract about boosting. We describe first in section 1
(in a self-contained way) a generic functional gradient descent algorithm,
which yields a general representation of boosting. Properties of boosting or
functional gradient descent are then very briefly summarized in section 2.