Sentence examples for the data weight from inspiring English sources

Taking the infinite variance limit on Q to mitigate the bias in y leads to the data weight matrix (26 which can be used in the usual weighted least-squares solution.

(c) The result when the data weight is a constant.

where the data weight w x,y) ranges from 0 to 1.

To emphasize the inhomogeneous design of the data weight, we call this equation inhomogeneously screened Poisson equation.

We handle this problem by designing the data weight function w x,y) in a spatially varying manner.

Note that the linear equation in (6) is reduced to the screened Poisson equation if the data weight is a constant.

Techniques, such as normalizing the data, weighting the data and using mean data, were developed, resulting in much stronger correlations.

Within the 'Methods' section, we describe the data used and their selection criteria and briefly outline the data weighting scheme.

In Section 2 we describe the data used, their selection criteria, and briefly outline the data weighting scheme.

In the data weighting method, the data sets belonging to each class within the dataset are first calculated by using k-means clustering method, after which the measures of central tendency belonging to each class are calculated, as well.

After the data weighting stage, three different classification algorithms that included the k-NN (k-Nearest Neighbour), RBF NN (Radial Basis Function Neural Network) and SVM (Support Vector Machine) classifying algorithms have been used to classify the datasets.