Authors: Shengdu Chai, Jiayin Gu, Lingfeng Li
We apply machine-learning techniques to the effective-field-theory analysis of the $e^+e^- to W^+W^-$ processes at future lepton colliders, and demonstrate their advantages in comparison with conventional methods, such as optimal observables.



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