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The data partitioning into the data sample and the 'oracle' data was repeated 15 times.
In case of LMO-CV, the data partitioning into construction and validation data was repeated 50 times in the inner loop.
The generation of simulated data was repeated 20 times for each combination of the parameters.
To investigate the effect of the number of components, ICA of rat rsfMRI data was repeated several times with different preset component numbers.
One participant's data was repeated following the detection of phase shift.
Network inference with disturbed data was repeated 100 times, leading to a series of inferred models.
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The signal data were repeated since each examination was read twice by each reader.
All the test data were repeated three times, and got the average of three replicates.
Optimum scaling factors αopt were then obtained by the least-squares method and the scaling of infiltration data were repeated.
The experiments using simulated graph data were repeated 10 times and the average NMI scores and the average number of clusters are reported.
In this instance, each coefficient of the filter is multiplied by the corresponding image data within the scope of the filter (filter kernel) where some of the data is repeated from the opposite side.
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