Fast inference of Boosted Decision Trees in FPGAs for particle physics-Reference-Cited by-同舟云学术

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Fast inference of Boosted Decision Trees in FPGAs for particle physics

Published:2020-05-29 Issue:05 Volume:15 Page:P05026-P05026
ISSN:1748-0221
Container-title:Journal of Instrumentation
language:
Short-container-title:J. Inst.

Author:

Summers S.,Guglielmo G. Di,Duarte J.,Harris P.,Hoang D.,Jindariani S.,Kreinar E.,Loncar V.,Ngadiuba J.,Pierini M.,Rankin D.,Tran N.,Wu Z.

Publisher

IOP Publishing

Subject

Mathematical Physics,Instrumentation

Link

https://iopscience.iop.org/article/10.1088/1748-0221/15/05/P05026/pdf

Reference18 articles.

1. Boosted decision trees as an alternative to artificial neural networks for particle identification

2. Studies of boosted decision trees for MiniBooNE particle identification

3. Machine learning at the energy and intensity frontiers of particle physics

4. Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC

5. Deep Learning and Its Application to LHC Physics

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