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Models were tuned to the geometry and kinematics of the Wasatch Mountains, Utah, USA.
In addition, empirical models were tuned based on dataset collected in situ.
In [19], different propagation models were tuned to a measurement set, but no validation measurements were performed.
The parameters for all the models were tuned through a grid search of stratified 5-fold cross validation.
The models were tuned to reproduce the measured electrocardiogram and activation order on the left-ventricular (LV) endocardium.
Since the models were tuned exclusively for estimation accuracy, these results support the view that non-Reichardtian motion percepts probe ethologically relevant aspects of biological motion estimators.
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Six firn air transport models are tuned to the NEEM site; all models successfully reproduce the data within a 1σ Gaussian distribution.
As a consequence, feature-based models are tuned on specific applications, are hardly reusable across systems, and are scarcely transparent for human comprehension.
Mathematical models are tuned to measurements allowing advice to be patient specific.
Mathematical models are tuned to patient measurements allowing advice to be patient specific.
A Bode diagram of the models was tuned to the diagram of the ultracapacitor which was determined from measurements.
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