Cargando…
HEP meets ML award talk : XGBoost
<!--HTML-->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,...
Autores principales: | HE, Tong, CHEN, Tianqi |
---|---|
Lenguaje: | eng |
Publicado: |
2015
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2017394 |
Ejemplares similares
-
Challenge winner talk
por: MELIS, Gábor
Publicado: (2015) -
The Higgs Machine learning challenge
por: ROUSSEAU, David
Publicado: (2015) -
Overview of ML in HEP
por: De Oliveira, Luke Percival
Publicado: (2018) -
ML as a Service for HEP
por: Kuznetsov, Valentin Y
Publicado: (2018) -
Reusing ML tools and approaches for HEP
por: Ustyuzhanin, Andrey
Publicado: (2015)