Sentence examples for generating predictions for from inspiring English sources

Evaluation of the PK/PD model for 4βHC The posterior predictive performance of the PK/PD model was evaluated by generating predictions for the 34 subjects included in the analysis using 500 of the posterior sets of population mean parameter estimates.

We will present our newly developed DREENA framework - a numerical implementation of our dynamical energy loss formalism that allows generating predictions for a wide range of high pt observables, centralities, collision energies, different experiments and collision systems.

The procedure was repeated so that each subject was excluded once in a leave-one-subject-out (LOSO) cross validation procedure, thereby generating predictions for each subject based on the performance and activity patterns of the other subjects.

Baseline modeling was not successful in generating predictions for mechanical ventilation or survival.

The proof of concept was manifested by modelling the HCV-HIV association in few countries, and then generating predictions for more countries with limited HIV data.

The results are shown in Figure 2. In combination, the two predictors were capable of generating predictions for about 80 95% of all bacterial proteins encoded in the selected bacterial genomes, which exhibits an impressive increase versus the previous predictive capability of PSORTb 2.0 (57 75%) (Gardy et al., 2005) and PA 2.5 (67 76%) (Lu et al., 2004).

This early perl based version of pVAC-Seq was not able to generate predictions for indels.

We aim to build an engine using machine learning and data mining techniques, that would generate predictions for a candidate based on prior employee information.

After the algorithm has been trained on a large dataset, it can generate predictions for a new MRI scan in a matter of seconds". MRNet was trained on a dataset of 1,370 MRI scans.

We generate predictions for both simple and complex hypothetical landscapes, to illustrate the effect of including the behavioral rule, and for real landscapes.

It provides the main value-added of the simulation enterprise by trying to understand system behavior and generate predictions for it.