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However, the existing attribute reduction algorithms with VPRS have no incremental mechanisms of handling dynamic datasets with increasing samples, so that they are computationally time-consuming for such datasets.
It can be seen that, the gap between the two methods is diminished with increasing samples which indicates that the SMI method using large number of samples may provide satisfying performance.
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Anticipated number of genes knocked out with increasing sample sizes by minimum knockout count.
The fatigue strength apparently increases with increasing sample temperature.
The percentage of pools in which at least one false positive was identified increased with increasing sample complexity (Fig. 2).
The error decreases with increasing sample thickness and increases with increasing sample permittivity, gap width, radius of the electrode corner.
Unlike some other biases, this bias will not go away with increasing sample size.
Neutron shielding results showed attenuation of thermal neutrons with increasing sample thickness.
The allpass parameter increases with increasing sampling rate, as in the Bark-scale case, but it covers a significantly narrower range, as a comparison with Fig.4 shows.
This behavior is attributed to an increase in the crack nucleation probability with increasing sample size.
Similarly, the bending strength of the PZT increases with increasing sample temperature.
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