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Machine learning challenges in theoretical HEP
In these proceedings we perform a brief review of machine learning (ML) applications in theoretical High Energy Physics (HEP-TH). We start the discussion by defining and then classifying machine learning tasks in theoretical HEP. We then discuss some of the most popular and recent published approach...
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| Lenguaje: | eng |
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2017
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| Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/1085/2/022003 http://cds.cern.ch/record/2300083 |