TMVA Toolkit for Multivariate Data Analysis with ROOT The Toolkit for Multivariate Analysis (TMVA) provides a ROOT-integrated machine learning environment for the processing and parallel evaluation of multivariate classification and regression techniques. TMVA is specifically designed to the needs of high-energy physics (HEP) applications, but should not be restricted to these
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Thomas Keck: FastBDT: A speed-optimized and cache-friendly implementation of stochastic gradient-boosted decision trees for multivariate classification (2016) arXiv
- Zhong, Jiahang; Huang, Run-Sheng; Lee, Shih-Chang: A program for the Bayesian neural network in the ROOT framework (2011)
- Lyons, Louis: Open statistical issues in particle physics (2008)