An investigation of over-training within semi-supervised machine learning models in the search for heavy resonances at the LHC

Benjamin Lieberman, Joshua Choma, Salah-Eddine Dahbi +2

In particle physics, semi-supervised machine learning is an attractive option to reduce model dependencies searches beyond the Standard Model. When utilizing semi-supervised techni…