Home > 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 |
Talk | |||||||||||
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 | ||||||||||
Video |
| ||||||||||
Author(s) | Akilli, Ece (speaker) (Universite de Geneve (CH)) | ||||||||||
Corporate author(s) | CERN. Geneva | ||||||||||
Imprint | 2017-03-22. - Streaming video. | ||||||||||
Series | (Machine Learning) (IML Machine Learning Workshop) | ||||||||||
Lecture note | on 2017-03-22T09:05:00 | ||||||||||
Subject category | Machine Learning | ||||||||||
Abstract | http://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PUBNOTES/ATL-PHYS-PUB-2017-004/ | ||||||||||
Copyright/License | © 2017-2024 CERN | ||||||||||
Submitted by | sergei.gleyzer@cern.ch |