Sentence examples for weighted computation from inspiring English sources

According to representative cases selection, weighted coefficient evaluation, computation of representative source term cases and weighted computation, five containment release categories are established, including containment bypass, containment isolation failure, containment early failure, containment late failure and intact containment.

The trust inferred from similar computation mechanism has been combined in the weighted computation with the experience trust and reputation to achieve an overall trust.

Because of these constraints, mobile applications avoid constructing huge data structures and weighted computations, and pursue compactness and lightness.

The algorithm is based on a modification of the fast marching weighted distance computation that efficiently calculates, on the fly, important geodesic properties in relevant regions of the image.

The proposed reputation system assumed that there must be at least N historical transaction stored in the system's database to calculate proper reputation value; otherwise, Cardholder's reputation is set to 0. Equation (2) shows the proposed formula how to calculate weights for the weighted average computation.

aSee the 'Materials and methods' section for count genetic risk score (GRS) and weighted GRS computation; bmean for continuous GRS and median for each quintile; cadjusted for age and potential population stratification.

In a stochastic evaluation, the results of the individual computations are weighted with the probability of the occurrence of the underlying microstructures.

We implemented two estimators of HRMSM causal parameters: the inverse probability of treatment weighted (IPTW) and G-computation.

The computation is also weighted by the mirrored function of an exponentially decaying function.

In this expression, observations with x i coordinates closer to the focal point x are weighted more strongly in the computation of the fitted value E ^ (y | x ).

Connection type is denoted by line color (see legend), and strength (line thickness) is weighted by linear regression-based computations of the functional association data in the databases indexed.