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

Volumn 543, Issue 2-3, 2005, Pages 577-584

  Roe, Byron P ^a   Yang, Hai Jun ^a   Zhu, Ji ^a   Liu, Yong ^b   Stancu, Ion ^b   McGregor, Gordon ^c  

^a UNIVERSITY OF MICHIGAN   (United States)

^b UNIVERSITY OF ALABAMA   (United States)

^c LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

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

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DECISION THEORY; MONTE CARLO METHODS; OSCILLATIONS; PARTICLE SIZE ANALYSIS; TREES (MATHEMATICS);

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

NEURAL NETWORKS;

EID: 17644396003     PISSN: 01689002     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.nima.2004.12.018     Document Type: Article

References (11)

1. E. Church, et al., BooNE Proposal, FERMILAB-P-0898, 1997.
2. A. Aguilar Phys. Rev. D 64 2001 112007
3. Y. Freund, and R.E. Schapire Experiments with a new boosting algorithm Proceedings of COLT 1996 ACM Press New York 209 217
4. J. Friedman Greedy function approximation a gradient boosting machine Ann. Statist. 29 5 2001 1189
5. J. Friedman, T. Hastie, and R. Tibshirani Additive logistic regression a statistical view of boosting Ann. Statist. 28 2 2000 337
6. L. Breiman, J.H. Friedman, R.A. Olshen, and C.J. Stone Classification and Regression Trees 1984 Wadsworth International Group Belmont, California
7. R.E. Schapire, The boosting approach to machine learning: an overview, MSRI Workshop on Nonlinear Estimation and Classification, 2002.
8. Y. Freund, and R.E. Schapire A short introduction to boosting J. Jpn. Soc. Artif. Intell. 14 5 1999 771 (Appearing in Japanese, translation by Naoki Abe)
9. J. Friedman, Recent advances in predictive (machine) learning, Proceedings of Phystat, Stanford University, September 2003.
10. B.P. Roe, et al., BooNE-TN-117, March 18, 2004. (Journal paper under preparation.)
11. I. Stancu, et al., BooNE-TN-36, September 15, 2001; BooNE-TN-50, February 18, 2002; BooNE-TN-100, September 19, 2003. (Journal paper under preparation.)