Sentence examples for both models use the from inspiring English sources

Both models use the UK formulation to take advantage of potential relationships between the response variables and available trend variables.

Both models use the attribution of the medical specialities based on the characteristics of their professional activities.

Both models use the idea of a 'trace' left by presynaptic spikes (see previous section), but in slightly different formulations.

This is to be expected, as both models use the same regional source pool and the expected abundance of a given species in a replicate of either model is determined by its relative abundance in the source pool.

Both models use the initiation pattern of the conditional model; however, the daily rate, which is the monthly rate divided by the standard number of days in the month, has been adjusted to reflect anticipated enrollment dynamics.

Both models use the same set of final variables, however the odds ratios are larger for the model trained on Kalman filter estimates than the odds ratios for the model trained on raw observations.

Then checking the predictive power of both models using the developed database.

In our scheme the shared variable is alternately updated by the connecting submodels, with both models using the same combined storage relationship.

Predictions for further dipole geometries and a sorbing tracer have been calculated by means of both models using the flow and transport parameters deduced from fits for a single dipole experiment.

We determined these values for both models using the nine data sets.

When both models used the five predictive variables best for an ANN, Az for LR decreased [Az = 0.61 +/- 0.06, p < 0.01 (ANN)].