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The custom-designed algorithm provided the most accurate estimation of footstrike (True Error 1.2 ± 17.1 ms) and contact time (True Error 3.5 ± 18.2 ms).
It exploits the fact that both true error and false positives cluster.
Sequence effect and true error were combined into a single degree of freedom error term.
If it was a true error, she'll be able to correct it easily.
The margin of error is even higher, at 7percentt, and the true error can easily be much higher.
This algorithm stops the iterations when the true error is reduced for the first time below the desired error tolerance.
I.e., given a group of related error messages, if one is a true error it is likely that the others are bugs as well.
The applicability of the approximate expressions is discussed by defining the problem of finding optimal regularization parameters through minimizing the expected true error.
This failure has no effect on the conversion process and it is reported by the validator's maintainers that the failure may refer to a true error, a waning or a notice.
This paper provides exact analytical expressions for the first and second moments of the true error for linear discriminant analysis (LDA) when the data are univariate and taken from two stochastic Gaussian processes.
We derive approximate expressions for the first and second moments of the true error rate of the proposed classifier under the assumption of two widely used models for the uncertainty classes: ε-contamination and p-point classes.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com