Sentence examples for model with weighted from inspiring English sources

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%).

Further, He et al. [24] design an algorithm based on the element-wise alternating least squares (eALS) technique to optimize a MF model with variably weighted missing data.

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.

The model representing pathophysiological mechanisms had the form of a semantic net with weighted links.

Our regression analysis reported in Table 4 confirms that theobserved decreasing and convex relationship is robust for both considered measures ofeducation and across a number of model specifications, including the standard OLS model,the weighted least squares model with quality weights for the Gini coefficient from theWIID database, and the model with random country effects.

Based on this, we propose an improved cascading failure model with directed weighted network, and design five network performance indicators (i.e., relative value of cascading failure, average path length, relative value of maximal connected sub-graphs, network efficiency, and structure entropy).