Speaker
Helge Voss
(Max-Planck-Gesellschaft (DE))
Description
TMVA, the Toolkit for Multivariate Analysis, is a machine learning
package which is integrated into the ROOT framework for ease of use by
the HEP physicist. Employing and comparing different, sophisticated
machine learning algorithms in your data selection of regression tasks
has never been easier. In this presentation we will give a short
introduction to TMVA and show how to get the most out of multivariate
analyses via practical examples. Finally we will present both short
and long term plans for the development of TMVA.
Author
Helge Voss
(Max-Planck-Gesellschaft (DE))
