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Exact(4)
This means that, instead of making assumptions on the elements of a dataset, a GP infers their distribution.
The task of classification in imbalanced domains is defined when the elements of a dataset are unevenly distributed among the classes [3, 5].
The two most important elements of a dataset are its location (where on average the data lie) and its variability (the extent to which individual data values deviate from the location).
Basic data citation is a point of consensus, but the general agreement on the core elements of a dataset citation frays if the data is dynamic or part of a larger set.
Similar(56)
All known regulatory networks were retrieved from the public domain data repository, provided that such individual networks held at least one element of a given dataset.
Clustering is a method for recognizing and discovering natural groups of similar elements in a dataset [33, 34].
When exporting data, users can choose to save only the element shown in the Analysis viewer panel, or all the elements of the dataset in a row with the same export configuration.
In particular, the method maps the elements of the dataset in hand to a weighted network according to the similarity that holds among data.
The easiest way to use a complex network for encoding a dataset is to let nodes denote the elements of the dataset and links denote their similarity.
(N° el:) number of noncoding elements of the dataset; (CST) percentage of elements of the set corresponding to a CST; (Coding CST/RefSeq CDS) number of elements of the set which correspond to a coding CST and to the CDS of a human RefSeq mRNA.
In this model, sensitivity characterizes the maximum change in the output of a function when elements change in a dataset.
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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