Sentence examples for models we selected from inspiring English sources

For the purpose of evaluating the candidate secular variation models, we selected 87 INTERMAGNET magnetic observatories; see Fig. 5.

With e-pharmacophore III giving the best possible BEDROC and RIE score among the other pharmacophore models, we selected this pharmacophore model for our prepared virtual database of Asinex.

In those cases where nested models occurred within the 90% confidence set of models, we selected the most parsimonious model for inference (for an overview of 90% confidence set of models, see Additional file 5).

Of these models, we selected the CS10 convection model by Cousins and Shepherd (2010) because of its flexibility, accessibility, and well-defined parameterization of the convection pattern by the solar wind velocity and the strength and orientation of the interplanetary magnetic field (IMF).

In order to gain insights into the influence of the choice of stereo algorithm on the performance of 3D visual discomfort models, we selected three popular and characteristic dense stereo algorithms, ranging from a computationally expensive, high performance model (e.g., as assessed on the Middlebury database [33]) to a very simple, inexpensive model that delivers reasonable performance.

From this set of models, we selected the most parsimonious (i.e., the model with the lowest AICc).

Using Finite Element Method (FEM) models, we select the best design, able to generate the highest plate displacement amplitude as possible.

When selecting one of these models, we select the model that comes from the largest cluster and has the best c-score.

For each of these models, we select a percentage of the population to serve as the individuals who introduce the virus in the population; specifically we chose to infect 11 individuals.

Development of the prediction model: We selected predictive descriptors using feature selection algorithms (provided by RapidMiner 5.1.13), which returned 113 descriptors as presumably predictive.

Then, for each model we selected the best one.