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Several functions are constructed for evaluating the significance of features based on kernel approximation and fuzzy entropy.
Finding an algorithmic criterion that matches the cartographers' judgment in ranking the significance of features on a terrain is a difficult endeavor.
Thus, the significance of features and materials found on a fan surface is not so readily discernible that everyone will arrive at the same conclusion as to how they formed.
All ACM methods used here are called traditional ACM methods because they do not distinguish the difference of significance of features.
Statistical significance of features in difference maps was assessed using a t-test procedure [46].
This shows that the significance of features in the amino acid repeat distributions is different between short and long repeats.
Similar(52)
One of the challenges for model-free feature selection methods, like network centralities or Relief-F, is determining the statistical significance of feature scores.
Furthermore, 'importance maps' were presented previously (Polyn et al., 2005), however, they do not provide a measure of statistical significance of feature importance (Gaonkar and Davatzikos, 2013).
To verify the significance of the features selected with SFFS, we performed feature selection also with the stability selection algorithm [ 38].
In turn, functional significance of certain features is implicated by preservation despite this evolutionary change; these features include tail-to-tail arrangements of HSEs, gapped HSEs, and the presence or absence of entire HSEs.
In making this judgment, however, one must rely not merely on knowledge of these non-moral features but on one's ability to intuit the moral significance of these features.
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