Auflistung Nach Schlagwort "Model understanding"
Anzeige der Dokumente 1-1 von 1
-
Bayesian uncertainty quantification for machine-learned models in physics
(2022)Being able to quantify uncertainty when comparing a theoretical or computational model to observations is critical to conducting a sound scientific investigation. With the rise of data-driven modelling, understanding various ...