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In this screenshot, you can see some of the errors where it didn't line up quite right.
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A standard feed-forward procedure was utilized to train the neural networks [39], and a gradient descent method was used to back-propagate the errors where-after weights were updated [40].
The error where SimpleCoordTransform would fail, claiming that it was "Unable to find the world system", has been fixed.
The magnitude of the error where this excess occurs is determined by the precision of the integration.
A compensation function, f v), can be used to reduce the error, where tau_{{max} } = frac{2.4T}{{w^{2} t^{2} }}left( {w + t} right)fleft( v right).
3. Repair these errors where possible.
Finally, we introduce a method to bound the position error of POCS for the positive measurement errors where the target definitely lies inside the intersection.
The corresponding maximal errors where the channel bottom penetrated the "stop surface" were 45.54 μm, 38.36 μm, and 46.73 μm.
A new concept, such as hybrid characteristic function, is introduced to describe the stochastic nature of the dynamic conditional estimation errors, where the key idea is to ensure the distribution of the conditional estimation error to follow a target distribution.
"But when you take the wide-lens view of everything and weigh the runs versus errors, where does the scorecard come out?" By most measures, the scorecard is still heavily weighted in Mr. Obama's favor.
The DE was calculated by summing up all errors where the size of the reference ball was overestimated (+1 for every error) or underestimated (−1 for every error).
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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