Studies of Boosted Decision Trees for MiniBooNE Particle Identification

Simple item page
dc.creatorYang, Hai-Jun
dc.creatorRoe, Byron P.
dc.creatorZhu, Ji
dc.date2005-08-08
dc.date.accessioned2026-07-07T06:23:46Z
dc.date.available2026-07-07T06:23:46Z
dc.descriptionBoosted 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.
dc.description28 pages, 22 figures, submitted to Nucl. Inst & Meth. A
dc.identifierhttps://arxiv.org/abs/physics/0508045
dc.identifierhttp://arxiv.org/abs/physics/0508045
dc.identifierNucl.Instrum.Meth. A555 (2005) 370-385
dc.identifierdoi:10.1016/j.nima.2005.09.022
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/96353
dc.subjectData Analysis, Statistics and Probability
dc.titleStudies of Boosted Decision Trees for MiniBooNE Particle Identification
dc.typetext

Files

Collections

arXiv