Sentence examples for using the variable metric from inspiring English sources

Optimal values of operating parameters were determined by EES optimization using the "variable metric" searching method and defining bounds for each variable as constraints.

Minimization of the sum of the squares of the error function is performed using the variable metric method (VMM), and the results are compared with those obtained by the conjugate gradient method (CGM) established previously in the literature.

In this work, we use the variable importance metric employed in the RPART regression method.5 The metric measures the sum of the weighted reduction in the impurity method (e.g., the Shannon entropy and the variance of response variable) attributed to each variable [34, 35].6 It associates scores with each variable, which can be used to rank the variables based on their contribution to the model.

We used the variable importance metric described in Sect.

Given that the factors used in the datasets are different, we present, and shortly discuss, each dataset separately, and we used the variable importance metric discussed in Subsection 4.3 to compute the importance of each factor.

The dual-pressure reheat combined-cycle was optimized using two different methods; the direct search and the variable metric.

The triple-pressure reheat combined cycle was optimized at 41 different maximum values of TIT using two different methods; the direct search and the variable metric.

This paper introduces an optimization design method for a three-degree of freedom (three-DOF) ultrasonic motor stator using constrained variable metric algorithm (CVMA).

Hierarchical clustering visualisation of both samples and variables is carried out using the Euclidean metric and data, where each variable has been normalised to mean 0 and variance 1.

When electric field exposure was modelled as a continuous variable, odds ratios using the principal metric were close to unity for all disease categories, never differing significantly from one.

For calculation of phylogenetic signal using the D metric in these traits, they were coded as four separate dummy binary variables (e.g. succulence: 0 = no, 1 = yes).