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Therefore, the number of onsets in the end (and offsets in the beginning) of an epoch could not be measured reliably.
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Whenever an excessive number of epochs were rejected due to EOG artifacts (rejection rates >45%) as was in case for 1 non-musician and 1 musician, a sufficient number of epochs could not be collected in order to achieve the competent level of signal-to-noise ratio (SNR) as were collected for other participants.
In the robo-calling epoch, dialers couldn't care less.
A further difficulty resulting from the limited data available in epoch one was that we could not fully account for clustering by hospital or area.
The effect of averaging up to 67 epochs (the full available set) could not be explored across the group, due to the availability of less than 67 deviant epochs in some subjects as a result of artifact rejection.
We could not use a shorter epoch length as epoch lengths differed across the study sites.
To evaluate the lengths in those parts of an epoch where the onsets or offsets could not be measured, we calculated the 95th percentile of the distribution of long intervals.
According to the plot, since the validation error could not converge after 10 epochs, the least validation error attained at epoch 1 was chosen by the learning algorithm.
Before the nuclear epoch, very low levels of natural tritium could not be analysed with appropriate accuracy.
Seeing that the validation error could not converge after 7 epochs, the learning algorithm stopped the training process.
Further, it was assumed in Indian Buddhism that two buddhas could not appear in a single epoch of a world system, any more than two "universal monarchs" (cakravartin) could rule simultaneously.
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