==> References about using boosted decision trees for MiniBooNE ParticleID

• Hai-Jun Yang, Byron P. Roe, Ji Zhu(Michigan U.), " Studies of boosted decision trees for MiniBooNE particle identification",  Nucl. Instrum. & Meth. A 555 (2005) 370-385
• Byron P. Roe, Hai-Jun Yang, Ji Zhu(Michigan U.), Yong Liu, Ion Stancu(Alabama U.), Gordon McGregor(Los Alamos National Lab), " Boosted decision trees as an alternative to artificial neural networks for particle identification", Nucl. Instrum. & Meth. A 543 (2005) 577-584
  

• BooNE-TN112, "nue and pi0 separation in the MiniBooNE Experiment by using the Boosting Algorithm" , Ji Zhu, Hai-Jun Yang, Byron P. Roe, 1/9/04.
• BooNE-TN113, "Particle Identification in the MiniBooNE Experiment by using the Boosting Algorithm" , H.-J. Yang, B. P. Roe, J. Zhu, 2/4/04, revised 2/13/04, 2/23/04.
• BooNE-TN123, "Brief Manual for Using Boost Programs" , Byron P. Roe, Hai-Jun Yang, 04/20/2004.
• BooNE-TN127, "An Alternative Particle ID Technique: the Boosting Algorithm" , H.-J.Yang, B. Roe, J. Zhu, 5/5/04, Revised 6/7/04, Revised 7/2/04.
• BooNE-TN141, "The Performance of the S-Fitter Particle Identification" , Y. Liu and I. Stancu, 8/25/04.
• BooNE-TN147, "The Performance of R-Fitter Particle Identification" , H.-J, Yang, B. Roe, 11/18/04.
• BooNE-TN151, "Re-tuning of R-Fitter & PID for Dec'04 Baseline" , B. P. Roe, H.-J. Yang, 1/8/05.
• BooNE-Memoxx, "Stancu input vars I"  and "Stancu input vars II", Y. Liu and I. Stancu, 8/03/2005.
• BooNE-Memo24, "PID Variables from RFitter Used in Yboost", Byron P. Roe, Hai-Jun Yang, 08/10/2005.
• BooNE-Memo25, "Why UZ Gives Good PID Discrimination", Hai-Jun Yang, Byron P. Roe, 10/28/2005.
• BooNE-TN178, "Energy and Geometry Dependence of ParticleID and Cascade Artifical Neural Network and Boosting Training" , Y. Liu, I. Stancu, 3/1/06.
• BooNE-TN189, "Boosting ParticleID for May06 Baseline", H.-J. Yang, 7/10/06.

==> Example of Single Decision Tree with 10 Leaves  <==