INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2009 (ICCMSE 2009)
|
2012年
/
1504卷
关键词:
TMVA;
Multivariate Data Analysis;
Neural Networks;
Boosted Decision Trees;
D O I:
10.1063/1.4771869
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
The Toolkit for Multivariate Analysis (TMVA) provides a ROOT-integrated [2] environment for the processing, parallel evaluation and application of multivariate classification and - since version 4.0.0 - regression techniques which is specifically designed for the needs of high-energy physics (HEP) applications. In TMVA, all MVA methods are embedded in a common framework capable of handling the pre-processing of the data as well as the evaluation of the output, thus allowing a simple and convenient use and assessment of multivariate techniques.