Sentence examples for under varying models from inspiring English sources

By comparing the sum of the likelihood of internode distances across the tree under varying models, BDL can decipher between increased diversification rate vs. rate-constancy with background extinction [ 53].

There was no evidence of a poor fit to the data based on an assessment of the model residuals or model predictive ability (area under the ROC curve for varying model sensitivity and specificity = 0.86).

Given the sensorimotor changes observed in neck pain populations under varying experimental models and the proposed implications of the cervical region to explain the pathophysiology of TTH, it is hypothesized that patients with TTH have similar sensorimotor deficits and that theses will be positively correlated to clinical parameters.

Static pressure measurements are taken along a test-section sidewall to provide a pressure signature of the test models under varying rotor tip-speed ratios (freestream conditions and model RPMs).

In this paper, we present a Bayesian framework that automatically provides the benefits of both models under varying contexts.

Recently a number of comprehensive benchmark studies have been presented, with the goal of assessing the performance landscape of saliency models under varying conditions.

Because char particles often possess a wide range of pore sizes and react under varying operating conditions, predictive models which can account for the numerous physical and chemical processes and time-dependent boundary conditions to which a particle is subjected are necessary.

Figure 2 illustrates the relative performance of the different models under varying levels of effect size and background residual familial variance.

Running the model under varying conditions of resource availability showed that the broad-based mast diet inferred from nutshell assemblages was probably not energetically optimal.

This paper contains novel investigations involving computer-aided durability design, corrosion modeling under varying oxygen, classification and standardization of corrosion product data.

In general I would have liked to see however either a more thorough analysis of the performance of their model under varying assumptions or datasets.