Classification without labels: learning from mixed samples in high energy physics
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DOI: 10.1007/jhep10(2017)174
Abstract: A bstractModern machine learning techniques can be used to construct powerful models for difficult collider physics problems. In many applications, however, these models are trained on imperfect simulations due to a lack of truth-level information… read more here.
Keywords: classification; without labels; classification without; high energy ... See more keywords