Sentence examples for models and minimize from inspiring English sources

In order to cross-validate the models and minimize overfitting, a leave-one-out methodology was applied to each model.

But to transform and scale desalination into a truly global solution--one that works for industrialized and developing countries alike--we still need new breakthroughs to bring down costs, advance new business models, and minimize environmental impacts.

And while various approaches to metafinance are already being practiced by communities around the world, more effort will be required to identify sustainable models and minimize financial risk to the poor.

Approaches such as cross-validation between different sources of data will also raise the external validity of the models and minimize bias.

CATGTR + Γ4 was found to be the best-fitting model; this finding was expected considering that site-heterogeneous models are known to provide a better fit than site-homogeneous models and minimize the impact of systematic errors arising from the difficulties to detect and interpret multiple substitutions [ 56- 59].

The model was generated as a Cartesian average of 10 models and minimized using the Amber99 force field.

To build the mathematical model and minimize the number of experiments for the design parameters, response surface methodology with a face-centered central composite design (CCF) was defined based on the conditions found by preliminary tests that resulted in the highest refolding yield.

In order to reproduce complete constraint conditions in FEA models under loading conditions, the bottom surface of the artificial mandibular bone should be adhered completely to the worktable with adhesive; this should stabilize the experimental model and minimize minute movements during the loading process.

Despite having a name which carries the connotation of uncertainty, researchers in [18, 19, 20, 21] have shown that there are limitations in the ability of type-1 fuzzy systems (T1 FSs) to model and minimize the effect of uncertainties, because type-1 fuzzy systems are certain regarding the fact that its membership grades are crisp values.

By using all the previous information that is available to restrict the model and minimize the number of adjustable parameters, PKQuest greatly increases the predictive power of the analysis.

To choose the appropriate smoothness of this spline model and minimize the effects of overfitting the data, we used a standard regularization method where the final smoothing parameter was selected via the so-called generalized cross-validation metric.