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 ,
Issue Information
روزنامه با شماره پیاپی سال 2005
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
Neutrino oscillations , Boosted decision trees , Artificial neural networks , Particle identification , MiniBooNE
Journal title
Nuclear Instruments and Methods in Physics Research Section A
Serial Year
2005
Journal title
Nuclear Instruments and Methods in Physics Research Section A
Record number
2204576
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