Identification of Hadronically Decaying W Bosons and Top Quarks Using High-Level Features as Input to Boosted Decision Trees and Deep Neural Networks in ATLAS at 13 TeV

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Detalles Bibliográficos
Autor principal: Akilli, Ece
Lenguaje:eng
Publicado: 2017
Materias:
Machine Learning
Acceso en línea:http://cds.cern.ch/record/2257336
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author Akilli, Ece
author_facet Akilli, Ece
author_sort Akilli, Ece
collection CERN
description <!--HTML-->http://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PUBNOTES/ATL-PHYS-PUB-2017-004/
id cern-2257336
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
record_format invenio
spelling cern-22573362022-11-02T22:34:06Zhttp://cds.cern.ch/record/2257336engAkilli, EceIdentification of Hadronically Decaying W Bosons and Top Quarks Using High-Level Features as Input to Boosted Decision Trees and Deep Neural Networks in ATLAS at 13 TeVIML Machine Learning WorkshopMachine Learning<!--HTML-->http://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PUBNOTES/ATL-PHYS-PUB-2017-004/oai:cds.cern.ch:22573362017
spellingShingle Machine Learning
Akilli, Ece
Identification of Hadronically Decaying W Bosons and Top Quarks Using High-Level Features as Input to Boosted Decision Trees and Deep Neural Networks in ATLAS at 13 TeV
title Identification of Hadronically Decaying W Bosons and Top Quarks Using High-Level Features as Input to Boosted Decision Trees and Deep Neural Networks in ATLAS at 13 TeV
title_full Identification of Hadronically Decaying W Bosons and Top Quarks Using High-Level Features as Input to Boosted Decision Trees and Deep Neural Networks in ATLAS at 13 TeV
title_fullStr Identification of Hadronically Decaying W Bosons and Top Quarks Using High-Level Features as Input to Boosted Decision Trees and Deep Neural Networks in ATLAS at 13 TeV
title_full_unstemmed Identification of Hadronically Decaying W Bosons and Top Quarks Using High-Level Features as Input to Boosted Decision Trees and Deep Neural Networks in ATLAS at 13 TeV
title_short Identification of Hadronically Decaying W Bosons and Top Quarks Using High-Level Features as Input to Boosted Decision Trees and Deep Neural Networks in ATLAS at 13 TeV
title_sort identification of hadronically decaying w bosons and top quarks using high-level features as input to boosted decision trees and deep neural networks in atlas at 13 tev
topic Machine Learning
url http://cds.cern.ch/record/2257336
work_keys_str_mv AT akilliece identificationofhadronicallydecayingwbosonsandtopquarksusinghighlevelfeaturesasinputtoboosteddecisiontreesanddeepneuralnetworksinatlasat13tev
AT akilliece imlmachinelearningworkshop

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