Sentence examples for sample were computed from inspiring English sources

In the 'heavily repeated' data partitioning experiment, 400 different splits into 'oracle' data set and small data sample were computed to attenuate the influence of fortuitous data splits.

A set of 13 attributes per image sample were computed from color and texture models using HSI statistics and gray level co-occurrence matrices (GLCMs) probabilities.

A total of 13 attributes per image sample were computed using color and texture models: HSI (hue, saturation, and intensity) color histogram statistics and GLCM probabilities.

Mean texture depths (MTDs) of each sample were computed via sand patch and outflow meter tests according to ASTM E 965-12 ASTM ETM E 2380-12, respectively.

In the 'heavily repeated' data partitioning experiment 100 different splits into 'oracle' data set and data sample were computed for the suboptimal but computationally cheap LOO-CV and different test data set sizes.

The feature vectors (Table 1) for each sample were computed and are listed in Table 2.

The adaptive TFD for each vertical sample is computed.

Standard error of the sample was computed, revealing (n = 55; 95 % confidence, margin of error 5.5%%).

The cumulative volume percentages from 0.04 to 74 μm (i.e., the inspirable particle range) for each sample are computed and plotted in Fig. 7.

The OTU richness rarefaction curve of each sample was computed using a self-written function in R (Supplementary Data S2).

The total sample was computed to be 1044 married women.