Sentence examples similar to minimizing models from inspiring English sources

This procedure allowed us to optimize environmental layer inputs for each niche model in terms of minimizing model omission error (i.e., exclusion of independent test data points from model prediction) [77].

Here, we estimated the kinetic parameters by minimizing model prediction errors over all unknown parameters simultaneously.

This suggests that modeling of the binding between CPHPC and SAP was an important component in minimizing model misspecification.

This supports that energy minimized models not only help in reducing the variance of the energy but also change the predictor landscape, allowing better predictions to be made.

The identifiable ratios and system constraints serve to minimize model nonuniqueness and renders the nonidentification problem trivial.

The goal of this study is to improve solution quality, minimize model complexity, and reduce searching time.

Overdetermined, least-mean-squares calculations are used to minimize model error throughout a frequency band rather than at a single frequency as in the corresponding linear estimators.

The model was searched so as to minimize model roughness relative to the prior model as well as data misfit, where the root mean square (RMS) is not less than the target RMS value (1.0 in this study).

We first attempted to minimize model over-fitting by calculating Pearson's correlation coefficient (r) between each pair of variables for 1,000 randomly selected points from throughout the geographical extent selected for bioclimatic modeling.

In order to minimize model uncertainty, a sensitivity analysis was performed with two alternative scenarios.

Due to this fact, we turn to the methods of model reduction allowing us to minimize model's complexity without affecting the model simulation dynamics.