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Studies to mitigate difference between real data and simulation for jet tagging
<!--HTML-->The aim of the studies presented is to improve the performance of jet flavour tagging on real data while still exploiting a simulated dataset for the learning of the main classification task. In the presentation we explore “off the shelf” domain adaptation techniques as well as cust...
| Autores principales: | , , , , |
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| Lenguaje: | eng |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2315380 |