Sentence examples for by different models and from inspiring English sources
The main difference between proposals is the number of states assumed by different models and the proposal's loss function.
Significant progress has been made by systematically studying the discrepancies between the predictions by different models and observations.
The estimated temperature results obtained by different models and for different number of parameters and wavelengths are compared.
Hence, one of the basic measures to reduce the possible damage is by identifying landslide-prone areas through landslide mapping by different models and methods.
Finally, in order to investigate the validity of the error criterion, we further perform simulations to measure the L m -norm between the PDF estimated by different models and empirical PDF obtained from real ultrasound data.
This study allowed improving the estimations achieved by different models and decreasing the error attained seven- and twelve-fold for the concentration estimation of [bpy][Cl] and [bmim][Cl], respectively, from the worst to the best model.
The evolution of multigene families can be explained by different models, including birth-and-death evolution and concerted evolution [ 53].
Statistics-based indicators (C-statistics, sensitivity, & Predictive Positive Value) and characteristics of identified top groups by different models (expenditures and prevalence of manageable diseases) were presented.
For example, oPWM slightly increased the number of peaks with detected BSs (4.6% only oPWM, 43.1% only ChIPMunk, and 5.9% only oPWM, 39.5% only diChIPMunk, Figure 4E,F: blue and green) and the number of peaks with non-overlapping sites detected by different models (8.6% and 8.3%, Figure 4E,F, orange).
These comparisons between STRFs and predictions generated by different models employing an L1 regularizer and NRC indicate that the differences between NRC and GLM are mostly due to the fact that the two estimation algorithms assume different priors about the STRF.
The uncertainty caused by selection of statistical models and parameter estimation procedures are analyzed by applying different models and methods.
