Speaker
Toby Burnett
(University of Washington)
Description
We have developed a package that trains and applies boosted classification trees, a
technology long used by the statistics community, but only recently being explored by
HEP.
We will discuss its design (Object-Oriented C++), and show two examples of its use:
to detect single top production in DZERO events, and for background rejection in GLAST.
Primary author
Toby Burnett
(University of Washington)
Co-authors
Gordon Watts
(University of Washington)
Yann Coadou
(Simon Fraser University)
