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Figure 7 Balanced accuracy for SVM models as a function of data fraction.
Figure 6 Accuracy of conformer models as a function of RMSD cluster.
The precision of the models as a function of time is verified with finite-element modeling.
Fig. 8 Entrainment ranges for the neural and derived phase models as a function of the forcing strength.
Figure 4 Average R 2 test for the (a) PLS and (b) KNN models as a function of the 3D-bin size.
Figure 10 shows the performance of the optimal policies, obtained from different channel correlation models, as a function of the time variability of the channel.
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We then modelled screening (multivariable/adjusted model) as a function of various biochemical, demographic and behavioural covariates.
Figure 4 Residual error of model as a function of sampling time.
The cost functions are modeled as a function of forced outage rate and EDNS.
Figure 1 Solution of the ( EP ) model as a function of the propensity to innovation.
The model noise has been modelled as a function of distance and camera resolution.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com