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Here, however, we use a parameter set that does not result in bistability.
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Using a parameter set (RDA-DR2.21_Inv) previously published by our group, both the atom-to-atom connectivities and geometries and the physical and mechanical properties of poly[bis-4- 4-cyanatophenoxy phenyl sulpoly[bis-4- 4-cyanatophenoxy phenylarkable accuracy.
Note that in our hybrid framework we use a parameter setting that is tailored to longer run times, especially for larger instances.
The outputs defined above are obtained using a parameter set drawn from a specified uncertainty range using Latin hypercube sampling (Saltelli 2002).
As for the previously discussed machine learning methods, also in the case of Multilayered Perceptron it is important to point out that we used a parameter setting as standard as possible, without doing any fine parameter tuning for this particular application.
To overcome the limitations of using specific values for a parameter set, we further performed LSA based on MCC over a wide range of parameter values (see Methods).
Several methods can be used to find such a parameter set.
Post-processing was performed twice, using a geometric parameter set that was acquired by direct physical measurement and using a geometric parameter set estimated by the calibration method.
When tested against the ISPRS LIDAR reference dataset, SMRF achieved a mean 85.4% Kappa score when using a single parameter set and 90.02% when optimized.
The model was simulated using a constant parameter set both with and without blocking antibodies and the pattern of responses in single cells was determined.
The average time to embed one compound varies only slightly across the three datasets and is below 0.3 s using a practical parameter set.
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