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The classifications were performed using R version 2.15.3 (R Development Core Team 2013. The R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org), with packages "bootstrap", "class", and "e1071" implemented [ 43].
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The classification was performed using a nonlinear analysis.
The classification is performed using the first packet carrying the application payload.
Once the optimal time-frequency region for each subject is found, the classification is performed using a simple linear classifier, i.e., Fisher's linear discriminant analysis (LDA).
However, the classification is performed using manually defined thresholds which may not always fit to enhance different types of images properly.
In this regard, the classification is performed using the naive Bayes classifier, which is a special case of the Bayes classifier that yields the minimum misclassification risk among all statistical classification rules [51].
The classification is performed using a simple but physically justified M-B diagram, where M is the total mass of the neutral gas around the object and B is the magnetic field (either intrinsic or external) at the object.
The lower value in that study can, at least partly, be explained by the fact that the classification was performed using a four-grade scale, and the fact that the readers came from 18 different hospitals.
The classification was performed using a set of parameters extracted from the FHR signal and two hidden Markov models.
The classification was performed using a combination of own code and the PyML machine learning framework [ 46, 67].
The classification was performed using all possible sets of 3, 4, or 5 input indexes (with less than 3 indexes, the errors were always large, about 50%; using more than 5 indexes would not be correct, due to the small set of data).
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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