Sentence examples for models were quantified from inspiring English sources
The accuracy and reliability of the models were quantified by employing statistical parameters such as the correlation coefficient and absolute average error.
The performances of the different models were quantified by computing the average mean square error (AMSE), and the average correlation coefficient (ACC) between the true and estimated visual parameters, defined as ϵ = 1 4 T ∑ r = 1 4 1 σ v r 2 ∑ t = 1 T õ v r t - o v r t 2, (11) ρ = 1 4 T ∑ r = 1 4 ∑ t = 1 T ( o v r t - μ v r ) ( õ v r t - μ ~ v r ) σ v r σ ~ v r, (12).
The results of logistic models were quantified by calculating cumulative odd ratios (COR) and odds ratios (OR) with their 95% confidence intervals (95% CI).
The relative levels of slc11a2-α and slc11a2-β mRNAs in the organs (in vivo models) and leukocytes (in vitro models) were quantified by real-time RT-PCR.
The levels of cyclin/CDK expression in two cell models were quantified to explore the relationship between Irf-1 and its downstream effectors associated with cell cycle regulation under normal or high glucose conditions.
Finally, the validity of the proposed models was quantified by means of residual analysis and simulation experiments.
The accuracy of GP surrogate models is quantified by a confidence level measure and continuously improved through the sequential adaptive sampling.
Solar radiation-driven inactivation of bacteria, virus and protozoan pathogen models was quantified in simulated drinking water at a temperate latitude (34°S).
The accuracy of the models is quantified using bias statistics where bias is defined as the ratio of measured pullout capacity to predicted value.
The accuracy of the analytical models is quantified by considering realistic three-dimensional microstructures containing curved dislocations with a specified distribution.
Two GEP models have been developed, and the prediction uncertainties of the developed GEP models are quantified and compared with those of existing models, showing improved prediction accuracy in favor of GEP models.
