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Machine Learning applications in CMS
<!--HTML--><p>Machine Learning is used in many aspects of CMS data taking, monitoring, processing and analysis. We review a few of these use cases and the most recent developments, with an outlook to future applications in the LHC Run III and for the High-Luminosity phase.</p>
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Lenguaje: | eng |
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2017
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Acceso en línea: | http://cds.cern.ch/record/2285251 |
_version_ | 1780955868940992512 |
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author | Stoye, Markus |
author_facet | Stoye, Markus |
author_sort | Stoye, Markus |
collection | CERN |
description | <!--HTML--><p>Machine Learning is used in many aspects of CMS data taking, monitoring, processing and analysis. We review a few of these use cases and the most recent developments, with an outlook to future applications in the LHC Run III and for the High-Luminosity phase.</p> |
id | cern-2285251 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2017 |
record_format | invenio |
spelling | cern-22852512022-11-02T22:31:44Zhttp://cds.cern.ch/record/2285251engStoye, MarkusMachine Learning applications in CMSMachine Learning applications in CMSEP-IT Data science seminars<!--HTML--><p>Machine Learning is used in many aspects of CMS data taking, monitoring, processing and analysis. We review a few of these use cases and the most recent developments, with an outlook to future applications in the LHC Run III and for the High-Luminosity phase.</p>oai:cds.cern.ch:22852512017 |
spellingShingle | EP-IT Data science seminars Stoye, Markus Machine Learning applications in CMS |
title | Machine Learning applications in CMS |
title_full | Machine Learning applications in CMS |
title_fullStr | Machine Learning applications in CMS |
title_full_unstemmed | Machine Learning applications in CMS |
title_short | Machine Learning applications in CMS |
title_sort | machine learning applications in cms |
topic | EP-IT Data science seminars |
url | http://cds.cern.ch/record/2285251 |
work_keys_str_mv | AT stoyemarkus machinelearningapplicationsincms |