Support vector machines (SVMs) constitute a class of supervised learning models designed to perform classification by constructing a decision boundary, or hyperplane, that optimally separates data ...
The proposed C-BOCSVC implements the SRM principle by introducing the bounded regularization term, which not only enhances the convexity of the optimization problem but also yields a unique decision ...
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