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The sum of squared singular values is therefore selected to measure the error of eigenvector approximations.
To further measure the error, we calculate the statistic error (Table 3).
We randomly select 25 images from 200 images from the sequence to measure the error performance.
On the one hand, the predictive accuracy metrics measure the error between the predicted rating and the real user rating.
First, Dynamic Time Warping is used to measure the error between demonstrator and learner streams, which gives resilience against translation in time.
In order to measure the error of our method, we compared the points of the detected boundaries with those of the real boundaries.
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The Consistency Index (CI) is calculated to measure the errors in judgment by the user.
The correction functions quantitatively measure the errors due to the degeneration from the original BEQ to a linear DE.
In measuring straightness, it is a common practice to measure the errors by methods that take account of the length of the surface to be measured.
However, one can measure the errors of motion components then for better understanding its frequency domain errors, which can enhance the effectiveness of the DAD results.
Safe-SeqS does not measure the errors that are introduced into barcode sequences either.
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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