Studies of Boosted Decision Trees for MiniBooNE Particle Identification

Thumbnail Image

Date

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

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

Keywords

Data Analysis, Statistics and Probability

Citation

URI

http://salesiana.dossiersoluciones.com/handle/123456789/96353

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/physics/0508045
 http://arxiv.org/abs/physics/0508045
 Nucl.Instrum.Meth. A555 (2005) 370-385
 doi:10.1016/j.nima.2005.09.022

Collections

arXiv