Sentence examples for by computing the linear from inspiring English sources
Moreover, the contribution of both modalities to the overall quality can be measured by computing the linear Pearson correlation between those quantities.
Here, differential Granger causality maps (dGCM) were computed for each source voxel with an order of 1 TR (1.3s) by computing the linear direct influence of source to target (I→J) and of target to source (J→I), and subtracting the latter from the former.
We then classify an attribute vector x by computing the linear combinations of h(x → ).
Model accuracies were estimated by computing the linear correlation, the mean prediction error (MPE) and mean absolute prediction error (MAPE) of the observations and predictions to a 10% hold-out dataset.
We ran univariate analyses by computing the linear contrast across the repetition sequence at each voxel in both runs, and we sorted voxels as RS versus RE in a post hoc manner, depending on whether their response was negative versus positive.
By the note following Lemma 2.8, the deviation of ΔJC from additivity in an interval [ t0, t1] can be evaluated by computing the linear interpolation Δint= At + B of ΔJC in [ t0, t1], and finding t ∈[ t0, t1] which maximizes ΔJC(t )− Δint(t ) (see Figure 1a).
Sensitivity analysis for parameters influencing the optimal treatment time was conducted by computing the circular-linear partial rank correlation coefficient (CLPRCC) between the optimal treatment time and each parameter.
For WG and VL, the raw values were adjusted for trial mean effects by computing the residuals of a linear model that included the categorical effect of trial.
A solution algorithm is designed to iteratively identify active constraints and solve linear systems by computing the pseudoinverse.
For the first method, we investigated the existence of a linear relationship by computing the correlation coefficient between the variables.
We compared the linear and spline models by computing the difference between the deviances of the fitted two models (Dominici et al. 2002; Samoli et al. 2005).
