Sentence examples for models under other from inspiring English sources

A combinatory examination of 216 SVM parameter sets across the 8 feature methods (Table S2) suggests that first, not unpredictably, it is possible to de-tune effective parameters and produce less effective SVM models and second, the same general parameters optimized under the PSBC feature set produce maximally (or nearly so) predictive models under other feature sets.

A similar result was observed for a different definition of morning rush hours (6 30 – 8:00 AM) for home to work commutes, but rush hours did not enter as a predictor in the models under other definitions (e.g. 6 00 – 9:00 AM and 6 30 – 9:00 AM for home to work commutes).

Until now, G.M. had been leery of shutting down Oldsmobile partly for fear of lawsuits from dealers, who could argue that the company was breaking its franchise agreements with them by continuing to sell many models but only under other brand names.

* Significant at 0.05 level HR, Hazard rate Gender is significant under the log-normal and log-logistic with gamma frailty model but not significant factor under other models.

Although it is still early days, attempts are even being made to model the pancreas, bladder and kidney.As well as the whole organ modelling under way, other groups are focusing on single cells and trying to mimic their myriad processes using computers.

In this work, we use the overlap as defined in Equation (9) with p = 1, which we refer to as model overlap, as this directly represent the time-averaged, expected likelihood of one model under the other.

Empirical correlation derived from one of the fitted multivariate models is shown in the Technical Appendix; correlation structures under other models were similar (data not shown).

While we have chosen the above mobility models for evaluation, we expect the results to hold even under other models such as motion on a Manhattan grid (suitable for vehicular networks).

The M U n i f o r m and M D P P models show robustness to prior violations and perform well when applied to data generated under other models.

It is also clear that the theoretical expectations derived by [13] were accurate only under some conditions given by the assumptions of these models, but clearly inaccurate under other conditions; in particular when the fitness function was narrow (Fig. 2).

We have demonstrated that the predicted cancer and carrier risks in some families differ markedly from those predicted under other models.