Your English writing platform
Discover LudwigExact(11)
An extension of representational machine learning methods where the algorithm uses multiple transformation layers between raw data and output rather than one layer.
The information loss between raw data and summarized data can be measured with the relative approximation error as follows: epsilon _{i, e, t}=frac{|r_{i,e,t}-s_{i, e, t}|}{|r_{i, e, t}|} (5).
** Significant difference in AUC between raw data and normalized with mean cortical thickness.
For example, lineage captures the connection between raw data and a normalized version of it.
For all subjects, we compared the highest accuracies of the classification between raw data and artifact-removed data.
The association rule between raw data and RNA samples is based on the names of the FASTQ files.
Similar(49)
Calibration data were acquired to determine the relation between raw data pixel value and noise.
The observed relationship between raw data fragment duration and the reliability of the standard dispersal algorithm was very strong, r 1, 4=.9898, p =.003.
Across the three age groups, no significant relationships were observed between raw data segment duration and fixation duration as parsed using our new algorithms, although weaker, nonsignificant relationships do still remain [6months, r 1, 16) =.28, p(two-tailed) =.26; 12 months, r 1, 14) =.35, p(two-tailed) =.20; adults, r 1, 15) =.26, p(two-tailed) =.36].
The correlations between the percentage changes and ICARS scores were indistinguishable from the correlations between the raw data and ICARS scores.
But the interposition of weighting, between the raw data and the published poll, includes what is essentially a kind of expert hunch.
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