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Radu C. Martin 2021-06-22 12:00:40 +02:00
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50_Choice_of_Hyperparameters.tex
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@ -393,7 +393,7 @@ data, validating the model by analyzing its multi-step prediction performance
ensures the model was able to learn the correct dynamics and is useful in
simulation scenarios.
The following subsections analyze the performance of the trained \arcshort{gp}
The following subsections analyze the performance of the trained \acrshort{gp}
and \acrshort{svgp} models over 20-step ahead predictions. For the \acrshort{gp}
model the final choice of parameters is made according to the simulation
performance. The simulation performance of the \acrshort{svgp} model is compared