Studies of stability and robustness for artificial neural networks and boosted decision trees

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

Volumn 574, Issue 2, 2007, Pages 342-349

  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; Robustness; Stability

Indexed keywords

ALGORITHMS; DECISION TREES; MONTE CARLO METHODS; NEURAL NETWORKS;

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

ROBUSTNESS (CONTROL SYSTEMS);

EID: 34047168108     PISSN: 01689002     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.nima.2007.02.081     Document Type: Article

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