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The Bootstrapping procedure conceptually involves copying samples of a data set on top of themselves infinitely creating a mega data file [ 10].
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10.7554/eLife.00825.010 Figure 3. KNN classification for normal karyotype patient samples of an independent data set ( Pellagatti et al., 2010 ).
From such pretreated data of n samples, a data matrix X of dimension (n × m) is constructed.
Generation of a sample of random data according to a specified random mechanism.
This illustrative example is a first attempt to implement an attention-corrected choice model with a sample of field data from a conjoint choice experiment.
To address these interrelated issues, I present descriptive analyses of a convenience sample of aggregate data from a US-wide online child care training provider.
Features are combined in a classifier that is first trained on a sample of labeled data to learn a prediction model.
In calculating the rate of job growth, the Labor Department relies upon a sampling of payroll data and an extrapolation of how many jobs have been created and destroyed.
A typical scenario is: the visualization tool asks for a sample of n data points within a specific region that reflects the underlying distribution.
A sampling of Argus data acquired on a recent stratospheric research campaign in the Arctic winter is presented.
Figure 6b shows a sample of eyetracker data in which a similar effect has occurred.
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