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These datasets have been selected for their distinct class distributions.
Optimal age class distributions differed among taxa, and surrogacy relationships between most groups were poor.
We experimented with an architecture consisting of cascaded neural networks to cope with uneven class distributions.
Therefore, we focus on only the nonnegative-valued Cohen's class distributions.
In contrast, the GMM is a generative model and focuses on class distributions.
The results of IF class distributions related to each EEG channel are shown in Figure4c.
These datasets were selected for their properties, mainly due to their distinct class distributions (Table 1).
As shown in Figure4b, the IF class distributions are quite similar in the two hemispheres.
Other commonly used Cohen's class distributions include Page distribution [21] and the Choi-Williams distribution [22].
This includes extreme class distributions of Gaussian/non-Gaussian types and process drifts.
In such cases, the separating rules should be determined according to the directions of class distributions.
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