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We will briefly give an overview of the key constructions associated with the stages associated with these first three number sequences (see also Table 1): The construction of INS is associated with the first truly numerical stage in that students now see numerosity as an attribute that describes the size of a set.
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A large number of such pre-coordinated concepts combine a laboratory test, e.g., "bone alkaline phosphatase", with a "qualifier" attribute that describes the result of the test qualitatively: e.g., normal, abnormal, increased, decreased, positive negative.
The fourth attribute is the consult structure attribute that describes in what group composition the consults with the lifestyle coach take place.
The biggest problem when answering these questions is that there may be inconsistencies in virtually all attributes that describe a paper, and in some that describe an author.
Software evolvability is a multifaceted quality attribute that describes a software system's ability to easily accommodate future changes.
Association rules aim to automatically extract interesting associations or correlations among a large set of items (attributes) that describes a set of objects in a database.
The critical assumption of a Naïve Bayes classifier is the conditional independence of the set of attributes that describes each x ∈ X instance of the target function f: X → Y. Like in the SVM method, no clear classification model is provided to the investigator, who can only perform a "blind" assignment of specimen to species.
Existing models for cluster analysis typically consist of a number of attributes that describe the objects to be partitioned and one single latent variable that represents the clusters to be identified.
This method brings together knowledge of the intrinsic biophysical properties of a measurement site, and the surrounding landscape to produce a number of geostatistical attributes that describe the overall variability, spatial extent, strength of the spatial correlation, and spatial structure of surface albedo patterns at separate seasonal periods throughout the year.
A better solution is to tag files with attributes that describe them.
It shows the percentage of null values of attributes that describe journal and conference papers using a small dataset C 2 containing 107 Lattes CV.
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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