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"SupportVectorMachine" (Machine Learning Method) Method for Classify. Models class probabilities by finding a hyperplane that separates the training data into two classes using a maximum-margin hyperplane. Support vector machines are binary classifiers. A kernel function is used to extract features from the examples. At training time, the method finds the maximum …

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In mathematics, the support of a real-valued function is the subset of the domain containing the elements which are not mapped to zero. If the domain of is a topological space, the support of is instead defined as the smallest closed set containing all points not mapped to zero. This concept is used very widely in mathematical analysis.

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