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The output file is a table that can be produced in four alternative formats, containing a vector of features for every object processed.
In SVM classification, a training example is represented using a vector of features and a label.
Then, the membership of an unknown symbol (vector of features) is derived from the location of its projection.
As the derived vector of features is of high dimension, a dimensionality reduction helps to make the CCA applicable [35].
Then, the obtained histograms are concatenated in a unique vector of features that describes frontal or profile faces.
In 2006 Alexandrescu et al. [31] present a model where each word is represented as a vector of features.
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where denotes a vector of feature variables, and denotes the associated binary outcome (class).
This phase aims to convert each word to a vector of feature values.
(Bitwise-based vector of feature set) Let (mathcal {S}) be a set of properties, or features, and (unlhd ), an order relation on (mathcal {S}).
The probability distribution P(r| s, t) is given as (3) In Equation (3), F = { f1,…, f K } denotes a vector of feature functions: K is the number of feature functions; and w = { w1,…, w K } presents a weight vector of the feature functions.
By representing each domain as a numerical vector of feature values derived from structural data, a classification model achieving 90% accuracy in separating binding and non-binding domains was constructed.
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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