Sentence examples for the expected model from inspiring English sources

A typical example is the one presented in Figure 5, where two solutions are very likely geometrically given the model, but the most likely from the expected model has the wrong orientation.

A nonlinear support vector classifier is then trained on the classified (observed) experimental conditions to identify a decision function for quantifying the expected model reliability in unexplored regions of the experimental design space.

The alignment of PIK3CA mutation with elevated pS6 expression and absent p4EBP1 expression is different to the expected model.

Different fit statistics are applied to determine whether the observed data fits the expected model or not [ 31].

Two item fit mean square (MNSQ) statistics (infit and outfit) were computed to check whether the items fitted the expected model.

However, AIC is related to the expected model output; and for individual data not used in building the predictive model, the expected model is output is obtained with mixed effects set to zero, although nonlinearities may bias expectation - but this is also true for nonlinear models without mixed effects.

The presented low-to-low docking tool FitEM2EMout ranked the expected models at the top.

In the SEM step, standardized root mean square residual (SRMR) <0.10, a measure of the deviation of the observed covariance matrix from the expected (model-based) covariance matrix, was considered for an "adequate approximation".

This phenomenon was also observed in the results of the real dataset analysis presented in Table 5 with many of the real datasets being best described by '+F' versions of the expected models.

The prior requires two main user-defined parameters the a priori expected model size and SD of the model size.

According to Fig. 1, fuzzy stochastic optimization models include the expected value model, the opportunistic constraint planning model and the related opportunistic constraint planning model [13].