TMVA - Toolkit for Multivariate Data Analysis

被引:234
作者
Therhaag, Jan [1 ]
机构
[1] Univ Bonn, Inst Phys, D-53115 Bonn, Germany
来源
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.
引用
收藏
页码:1013 / 1016
页数:4
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