Sentence examples for models with weighted from inspiring English sources

Odyssey and several other makers are churning out models with weighted flanges on either end of the putter head and a certain amount of open space directly behind the putter face.

The most common boosting algorithm is AdaBoost [ 27], which iteratively builds an ensemble of models with weighted samples.

Calibration curve was obtained by linear model with weighted 1/x2 regression analysis.

A regularized version of this model with weighted spatial averaging of the damage-driving variable is published in a separate paper.

A Cox model with weighted estimation providing valid average relative risks with non-proportional hazards has been developed (Schemper et al. 2009).

In contrast, the second model, with weighted common and unique n-grams showed a remarkable and consistent accuracy of 99.23-99.74%, using 1%-71%-7%the genomic n-grams, respectively (Table S4 in Additional File 2).

Weights were equal to the square root of a descriptor's discriminative power as measured at a sensitivity of 95% and ranged from 1.06 for GAsurplusCU to 3.65 for MFEahl (Table 1; [see Additional file 1]). Figure 6 shows that a scoring model with weighted descriptors (W95% and W90%) had a significantly increased AUC performance and selectivity index relative to their unweighted models (95%and90%0%).

Lines give the best fit weighted linear regression models with weights given by the number of human SAR estimates.

Second, we estimated the variance parameters ω, α1, and α2 from the raw residuals from Model 1. Finally, we re-estimated the regression parameters using a weighted least squares regression with the reciprocal of ht as weight: 9 Models 4 and 5 are replicates of Model 1, but with weighted least squares to adjust for heteroskedasticity in the data.

As a sensitivity analysis, we used weighted least-squares models with the weights specified as the inverse of the standard errors from the universal kriging model to down-weight estimates with larger error.

Open image in new window Fig. 7 Precision of the approaches with and without FDE scheme for non-inertial (pure GNSS) positioning static Scenario 1: LS with constant noise model (top-left), LS with weighted noise model (top-right), EKF with constant noise model (bottom-left) and EKF with weighted noise model (bottom-right).