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SVM is a widely used technique in solving classification problems.
"These are fantastic for solving classification and perception problems, so that you can say when a dog is a dog.
SVM [77] is a supervised learning method used for solving classification and regression problems.
In the proposed system, multi-class support vector machine (SVM) is employed for solving classification problems.
However, for solving classification problems, only few packets should be selected according to their discrimination power.
SVM was initially developed for solving classification problems and successfully applied in regression problems.
Similar(31)
This study looks at a fairly new pattern recognition tool known as support vector machines (SVM) that can be used for solving classification-type problems.
However, its capability to solve classification problems has not been sufficiently explored so far.
ANN is also used to solve classification problems in the field of vibrational spectroscopy [76, 77].
RL is used with multi-agent systems to solve classification and decision-making tasks.
DTs are a Data Mining Techniques which can be used to solve classification problems.
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