Physics – Data Analysis – Statistics and Probability
Scientific paper
2011-03-15
Computer Physics Communications Volume 182, Issue 12, December 2011, Pages 2655-2660
Physics
Data Analysis, Statistics and Probability
12 pages, 6 figures
Scientific paper
10.1016/j.cpc.2011.07.019
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.
Huang Run-Sheng
Lee Shih-Chang
Zhong Jiahang
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