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,...

Descripción completa

Detalles Bibliográficos
Autores principales: HE, Tong, CHEN, Tianqi
Lenguaje:eng
Publicado: 2015
Materias:
LAL (Orsay)
Acceso en línea:http://cds.cern.ch/record/2017394
_version_ 1780946727723859968
author HE, Tong
CHEN, Tianqi
author_facet HE, Tong
CHEN, Tianqi
author_sort HE, Tong
collection CERN
description <!--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.
id cern-2017394
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
record_format invenio
spelling cern-20173942022-11-02T22:13:58Zhttp://cds.cern.ch/record/2017394engHE, TongCHEN, TianqiHEP meets ML award talk : XGBoostHiggs Machine Learning Challenge visits CERNLAL (Orsay)<!--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.oai:cds.cern.ch:20173942015
spellingShingle LAL (Orsay)
HE, Tong
CHEN, Tianqi
HEP meets ML award talk : XGBoost
title HEP meets ML award talk : XGBoost
title_full HEP meets ML award talk : XGBoost
title_fullStr HEP meets ML award talk : XGBoost
title_full_unstemmed HEP meets ML award talk : XGBoost
title_short HEP meets ML award talk : XGBoost
title_sort hep meets ml award talk : xgboost
topic LAL (Orsay)
url http://cds.cern.ch/record/2017394
work_keys_str_mv AT hetong hepmeetsmlawardtalkxgboost
AT chentianqi hepmeetsmlawardtalkxgboost
AT hetong higgsmachinelearningchallengevisitscern
AT chentianqi higgsmachinelearningchallengevisitscern

Ejemplares similares