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Even if computing error produced by PSN is greater than computing error produced by PMN, it is comparable to that produced by 4SED.
It is important to note that strong independence between different processing steps and computing error equal to zero makes Meijster algorithm another potential candidate to replace 4SED.
The negative impact of computing error intervals with constant width in method (M_{unique}) is clear when looking at these table, as the best (p_{err}) obtained when using this approach is more than twice the ones accomplished when applying some sort of clustering techniques, as is the case for (M_{k}) and (M_{expert}).
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In training, backpropagation sends computing errors back through the nodes to update the network's parameter values.
A cross-validation error estimator is obtained by repeatedly leaving out some data points, deriving classifiers on the remaining points, computing errors for these classifiers on the left-out points, and then averaging these errors.
The resulting long and narrow cells lead to huge computing errors.
Computing errors in our paper introduced small errors.
Third, analytical models based on the least-squares theory were adopted to compute error values at an arbitrary position for error compensation.
We use recently derived estimates for the truncation and amplitude errors to compute error bounds.
A method to compute error intervals for SVR predictions is proposed in [15].
Further by using the residual vector we compute error bounds for random generalized variational inequality problems and we generalize the regularized gap functions proposed by Fukushima.
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