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Comparing the numerical simulation errors with the theoretical errors we have verified that the theoretical errors are concordant with the computing errors, thus validating both the feasibility and efficiency of the OFEE format.
The gain is computed in real time by infinitesimal perturbation analysis, and the resultant control system displays wide stability margins as well as considerable robustness to modeling and computing errors.
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.
Computing errors in our paper introduced small errors.
The resulting long and narrow cells lead to huge computing errors.
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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.
In [1] the Sarnoff model computed errors when distortions exceeded a visibility threshold.
Differences were not really significant in relative terms, since computed errors were between 0.095 and 0.125 of the chip time, but they were more visible in range terms.
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].
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