(If the node is not in N its new label will be the minimum) Select the vertex that's not in N with the least label and add it to N. Repeat these steps from step 4 till the Node required is added to N or the labeled node is not available in N. Select the source vertex.
Fifty models with DDrms values between the threshold and the minimum were selected.
The variables that the minimum AIC selected.
Based on the cost-gain measure (bottom), the minimum is selected, which in this case is the color property.
The optimum input parameters for the minimum SWR and COF were selected based on signal to noise ratios and main effect plots.
Time-series metrics derived from these included the minimum, maximum and selected percentile values (10, 25, 50, 75 and 90% percentiles) and the mean reflectance values for observations between selected percentiles (10 25%, 25 50%, 50 75%, 75 90% and 25 75%).
Among the representations, the representation that has the minimum PAR is selected for transmission.
That is, the path with the minimum WL is selected by the metric.
Then, the points with the minimum distance are selected as true points.
Therefore, for each boosting iteration,, iteration's specific weak classifier,, with the minimum error,, is selected.
