CERN Accelerating science

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Title HEP meets ML award talk : XGBoost
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Author(s) HE, Tong (speaker) (Simon Fraser University, Canada) ; CHEN, Tianqi (speaker) (University of Washington, USA)
Corporate author(s) CERN. Geneva
Imprint 2015-05-19. - Streaming video.
Series (LAL (Orsay))
(Higgs Machine Learning Challenge visits CERN)
Lecture note on 2015-05-19T15:40:00
Subject category LAL (Orsay)
Accelerator/Facility, Experiment ATLAS
Abstract Tianqi Chen and Tong He (team crowwork) have provided very early in the challenge to all participants XGBoost (for eXtreme Gradient Boosted). It is a parallelised software to train boost decision trees, which has been effectively used by many participants to the challenge. For this, they have won the "HEP meets ML" award which is the invitation to CERN happening today.
Copyright/License ATLAS Experiment © 2014 CERN
Submitted by rousseau@lal.in2p3.fr

 


 Record created 2015-05-21, last modified 2022-11-02


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