Your English writing platform
Discover LudwigExact(59)
Losses can be predicted with reasonable accuracy, and this accuracy increases as the size of the group expands.
The accuracy increases with SNR.
The measurement accuracy increases with the radius.
This model indicates that as pre-test spatial math accuracy increases the change in spatial math accuracy decreases, but as change in Paper Folding accuracy increases change in spatial math accuracy increases (Fig. 12).
This model indicates that as pre-test math accuracy increases the change in math accuracy decreases, as there is less opportunity for gains, but as change in Paper Folding accuracy increases changes in math accuracy increases (Fig. 11).
Generally, as the pattern generating threshold increases, the prediction accuracy increases accordingly.
As expected, the accuracy increases as the number of terms of the basis expansion increases.
The average prediction accuracy increases up to 64.46 % according to four stochastic simulation results (Table 4).
First, the recognition accuracy increases substantially with the increase of patch size.
Note that the accuracy increases as the order of approximation increases.
When the best of 100 sub-optimal foldings is taken, the average accuracy increases to 91%.
Write better and faster with AI suggestions while staying true to your unique style.
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