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The second stage was then comprised by a new thermalisation (1 ns) followed by 10 ns of data accumulation of these infinite CNT's.
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We also consider the effect of the number N of data points on which the dataset is represented.
Since most generative dimensionality reduction algorithms exploit the representer theorem for reproducing kernel Hilbert spaces, their computational costs grow at least quadratically in the number n of data.
The complexity of clustering algorithms is strongly related to the number n of data objects and the number k of clusters.
Table 2. Number N of data points, mean of residuals, and rms misfit in nT for our parent model centered on epoch 2009.
Number N of data points, mean of residuals, and rms misfit in nT for our parent model centered on epoch 2005.0.
Number N of data points, mean, and rms misfit (in nT for the satellite data, and in nT/yr for the observatory data) for CHAOS-3α and CHAOS-3.
The definition of standard deviation of a sample N of data xi is the following: Open image in new window in which Open image in new window is the average.
As the number N of data points is in most cases comparatively small, the above two-step procedure is an efficient way to obtain the likelihood of an ODE model.
We can allow for the possibility that the number n of data points is small (n < 10) by testing the significance of a non-zero values of r: t = r ⋅ n − 2 1 − R 2, which is distributed approximately as Student's distribution with ν = n − 2 degrees of freedom, does not depend on the original distribution of the anisotropy and time values.
Thus, for a given dataset of ( n ) occurrences, ( n ) number of data points are also required for training GFMAPR.
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