Your English writing platform
Discover LudwigExact(2)
In the simulated data, the threshold that minimised the sum of errors (threshold 1) and the threshold that minimised the net effect of errors (threshold 2) coincided, and results are presented from one threshold only.
To determine the largest possible reduction in questions without increasing errors, threshold values in the range of 0 and 0.01 were further investigated and the results are shown in Figure 3.
Similar(58)
Prediction of most parameters stays within a 10% error threshold.
An error threshold value is used in the decision logic.
We show that the scheme possesses a fault tolerant error threshold.
This second transition corresponds to the standard error threshold transition first described by Eigen.
The heuristic was applied to 98 instances with an average error threshold of 3%.
A consequence of quasispecies is the existence of an error threshold for selective competence.
Absolute error quartiles and percentage of trials in absolute error threshold ranges were used to determine accuracy.
In the second step, the fitting error of the initial surface is minimized to meet the prescribed fitting error threshold.
In analogy to the error threshold in sequence space the phenotypic error threshold separates two scenarios: (i) a stationary (fittest) master shape surrounded by closely related shapes and (ii) populations drifting through shape space by a diffusion-like process.
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