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Discover LudwigThe phrase "support vector machines" is correct and usable in written English
It is typically used in the context of machine learning and data analysis to refer to a specific type of algorithm used for classification and regression tasks. Example: "In our research, we implemented support vector machines to improve the accuracy of our predictive models."
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Support Vector Machines (SVM).
Support Vector Machines (SVM) (I.
d) Support Vector Machines (SVM) .
Support vector machines are basically divided into two groups as linear support vector machines and nonlinear support vector machines.
support vector machines recursive feature elimination.
Parallel factor analysis 2. Support vector machines.
Both are based on support vector machines (SVM) [38].
The fourth algorithm employed was the support vector machines (SVMs).
Folded fragments produce support vector machines with the lowest predictivity.
LIBSVM [12] is a library for support vector machines.
rAnother very good machine learning candidate is support vector machines.
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