A simple guide from machine learning outputs to statistical criteria in particle physics
In this paper we propose ways to incorporate Machine Learning training outputs into a study of statistical significance. We describe these methods in supervised classification tasks using a CNN and a DNN output, and unsupervised learning based on a VAE. As use cases, we consider two physical situ...
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Format: | Article |
Language: | English |
Published: |
SciPost
2022-11-01
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Series: | SciPost Physics Core |
Online Access: | https://scipost.org/SciPostPhysCore.5.4.050 |