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pro vyhledávání: '"Kageorge, Logan M."'
Data taken from observations of the natural world or laboratory measurements often depend on parameters which can vary in unexpected ways. In this paper we demonstrate how machine learning can be leveraged to detect changes in global parameters from
Externí odkaz:
http://arxiv.org/abs/2111.12114
Machine learning offers an intriguing alternative to first-principles analysis for discovering new physics from experimental data. However, to date, purely data-driven methods have only proven successful in uncovering physical laws describing simple,
Externí odkaz:
http://arxiv.org/abs/2102.12006