Speaker
Joerg Stelzer
(DESY)
Description
Multivariate data analysis techniques are becoming increasingly
important for high energy physics experiments. TMVA is a tool,
integrated in the ROOT environment, which allows easy access to
sophisticated multivariate classifiers allowing for a widespread use
of these very effective data selection techniques. It furthermore
provides a number of pre-processing capabilities and numerous
additional evaluation features that help in getting the most out of
the data. The talk gives an overview of the TMVA package, and
presents new features and developments.
Primary author
Helge Voss (for the TMVA-Team)
(MPI-Heidelberg)
