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Deep Learning Methods Applied to Higgs Physics at the LHC
The impact that machine learning (ML) has had on research in high-energy physics (HEP) is undeniable; the use of ML-based classifiers in many analyses is now the norm, and they have a long history of being used within reconstruction algorithms (e.g. $b$-tagging at LEP, 1995). The combined effect of...
Autor principal: | Strong, Giles Chatham |
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Lenguaje: | eng |
Publicado: |
2021
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2791460 |
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