article Open AccessTop 10% cited
Boosted decision trees as an alternative to artificial neural networks for particle identification
Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · 2005 · Vol. 543(2-3) · pp. 577–584
Byron P. Roe(University of Michigan–Ann Arbor)Hai-Jun Yang✉(University of Michigan–Ann Arbor)Ji Zhu(University of Michigan–Ann Arbor)Yong Liu(University of Alabama)I. Stancu(University of Alabama)G. McGregor(Los Alamos National Laboratory)
Neutrino Physics ResearchAlgorithms and Data CompressionAdvanced Data Compression TechniquesMiniBooNEFermilabBoosting (machine learning)Artificial neural networkParticle identificationMonte Carlo methodMachine learningIdentification (biology)Decision treeComputer science
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Evidence for neutrino oscillations from the observation of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mover><mml:mrow><mml:mi>ν</mml:mi></mml:mrow><mml:mrow><mml:mi>¯</mml:mi></mml:mrow></mml:mover><mml:mrow><mml:mi>e</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>appearance in a<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mover><mml:mrow><mml:mi>ν</mml:mi></mml:mrow><mml:mrow><mml:mi>¯</mml:mi></mml:mrow></mml:mover><mml:mrow><mml:mi>μ</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>beam
Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields · 2001 · 1,470 citations
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Journal of the American Statistical Association · 1986 · 21,013 citations
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