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, Location (µ) vs. shape (?) (c) Scale (?) vs. shape (?)

, Scatter plots of the off-line training classification in 192 dataset signals, for the t-location-scale parameters µ, ? and ? for spike-and-waves events (blue dots) and non-spikeand-waves events (red dots), showing the data dispersion of the proposed approach. In a) and c) spike-and-waves tend to have a higher scale ?, in b) non-spikes-and-waves tend to, p.100

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, for the t-location-scale parameters µ, ? and ? for spike-andwaves events (blue dots) and non-spike-and-waves events (red dots), showing the data dispersion of the proposed approach. In a) spike-and-waves tend towards the center down, in b) the trend is not very clear, although there is a great concentration of spike-and-waves in the center down near zero, and in c) spike-and-waves tend to be located towards the right and near zero, International Journal of Neural Systems, vol.23, issue.3, p.1350009, 2013.

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, Scatter plot in off-line training classification in 192 dataset signals for the t-location-scale parameters µ, ? and ?, we can see the perfect discrimination between two groups whose size is the same (96 spike-and-waves and 96 nonspikes-and-waves), label 1 for spike-and-wave and label 0 for non-spike-and-wave

, Scatter plot in on-line classification in 46 test signals for the t-location-scale parameters µ, ? and ?, we can see the perfect discrimination between two groups whose size is different (spike-and-waves labeled by an expert neurologist and non-spikes-and-waves), label 1 for spike-and-wave and label 0 for non-spike-and-wave

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