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Studies of Boosted Decision Trees for MiniBooNE Particle Identification (2005)

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.. Comment: 28 pages, 22 figures, submitted to Nucl. Inst & Meth. A

Publication details
Download http://arxiv.org/abs/physics/0508045
Repository arXiv (United States)
Keywords Physics - Data Analysis, Statistics and Probability
Type text