Studies of Boosted Decision Trees for MiniBooNE Particle Identification
Data Analysis, Statistics and Probability
2007-05-23 v1
Abstract
Boosted decision trees are applied to particle identification in the MiniBooNE experiment operated at Fermi National Accelerator Laboratory (Fermilab) for neutrino oscillations. Numerous attempts are made to tune the boosted decision trees, to compare performance of various boosting algorithms, and to select input variables for optimal performance.
Keywords
Cite
@article{arxiv.physics/0508045,
title = {Studies of Boosted Decision Trees for MiniBooNE Particle Identification},
author = {Hai-Jun Yang and Byron P. Roe and Ji Zhu},
journal= {arXiv preprint arXiv:physics/0508045},
year = {2007}
}
Comments
28 pages, 22 figures, submitted to Nucl. Inst & Meth. A