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,...

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Detalles Bibliográficos
Autores principales: HE, Tong, CHEN, Tianqi
Lenguaje:eng
Publicado: 2015
Materias:
LAL (Orsay)
Acceso en línea:http://cds.cern.ch/record/2017394
Descripción
Sumario:<!--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, they have won the "HEP meets ML" award which is the invitation to CERN happening today.

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