Sentence examples for geometric weighting from inspiring English sources

where the geometric weighting coefficients cI1 and c'I2 in Equation 4 are eliminated.

With a relative weight of 50%% for publications with highest quality (HB1), the geometric weighting scheme with (g=0.5) thus creates the strongest incentive to publish in first tier journals, i.e., the quality of one category is always double of the quality of the next lower category.

The output of this function then has a geometric weight applied to the current point and ± 10% of the data range, to arrive at the smoothed curve.

There are many methods to describe the aggregate stability which the important ones include several sieving methods leading to mean weight diameter (MWD), geometric weight diameter (GMD) and in the last few decades fractal dimension index (D).

The matrix (W_2), containing the geometric weights of the backprojector, can be viewed as the Column Sparse Storage (CSC) version of the matrix W. In modern experiments carried on X-ray light sources, the data volumes, produced by new generations of detectors, always overwhelm the computing power.

In the next stage, the outputs of the shift modules are provided to the subsequent geometric proximity weighting module.

The geometric and weighting factor effects on the optimal designs for the three cellular cores considered in this study are evaluated and discussed.

We created several hormone scores, including ranking women by the number of hormones above the age- and batch-adjusted geometric mean and weighting hormone values by their individual associations with breast cancer risk.

Third, the rebuilt structure model is refined again with the same parameter settings as the last step of the conservative refinement, but with three different geometric restraint weights: the optimal weight from the conservative optimization phase, a slightly tighter restraint weight and a slightly looser restraint weight.

McClelland (1974) introduced the geometric mean form of weighting to the WQI.

For the models based on multiple neighbours, separate models were created where the predictions were combined using exponential, geometric, arithmetic, or inverse distance weighting (for more details, see Nigsch et al. [33]).