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Machine Learning for Higgs boson physics at the LHC
A review of machine learning for Higgs boson physics at the LHC at both ATLAS and CMS). It includes object reconstruction identification (classification), energy or momentum calibration (regression), signal to background separation (classification).
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| Lenguaje: | eng |
| Publicado: |
2018
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| Acceso en línea: | http://cds.cern.ch/record/2651122 |