A program for the Bayesian Neural Network in the ROOT framework
Data Analysis, Statistics and Probability
2015-03-19 v2 High Energy Physics - Experiment
Abstract
We present a Bayesian Neural Network algorithm implemented in the TMVA package, within the ROOT framework. Comparing to the conventional utilization of Neural Network as discriminator, this new implementation has more advantages as a non-parametric regression tool, particularly for fitting probabilities. It provides functionalities including cost function selection, complexity control and uncertainty estimation. An example of such application in High Energy Physics is shown. The algorithm is available with ROOT release later than 5.29.
Cite
@article{arxiv.1103.2854,
title = {A program for the Bayesian Neural Network in the ROOT framework},
author = {Jiahang Zhong and Run-Sheng Huang and Shih-Chang Lee},
journal= {arXiv preprint arXiv:1103.2854},
year = {2015}
}
Comments
12 pages, 6 figures