Studies of boosted decision trees for MiniBooNE particle identification

Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Volumn 555, Issue 1-2, 2005, Pages 370-385

  Yang, Hai Jun ^a,b   Roe, Byron P ^a   Zhu, Ji ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

^b LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

Artificial neural networks; Boosted decision trees; MiniBooNE; Neutrino oscillations; Particle identification

Indexed keywords

ALGORITHMS; DECISION THEORY; FERMI LEVEL; NEURAL NETWORKS; TREES (MATHEMATICS);

BOOSTED DECISION TREES; MINIBOONE; NEUTRINO OSCILLATIONS; PARTICLES IDENTIFICATION;

PARTICLE DETECTORS;

EID: 28044446098     PISSN: 01689002     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.nima.2005.09.022     Document Type: Article

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