Title of article :
Studies of boosted decision trees for MiniBooNE particle identification
Author/Authors :
Yang، نويسنده , , Hai-Jun and Roe، نويسنده , , Byron P. and Zhu، نويسنده , , Ji، نويسنده ,
Pages :
16
From page :
370
To page :
385
Abstract :
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.
Keywords :
Particle identification , Boosted decision trees , Artificial neural networks , MiniBooNE , Neutrino oscillations
Journal title :
Astroparticle Physics
Record number :
2027124
Link To Document :
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