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Support Vector Machines (SVMs) represent a robust and versatile class of machine learning algorithms that have significantly shaped the fields of pattern recognition, classification, and regression.

Towards the weakness of BP neural network, an efficient PSC ship-selecting model combining improved PSO and SVM algorithm is developed in this paper. The scheme is validated by demonstration analysis ...

This article proposes the multiclass proximal support vector machine (MPSVM) classifier, which extends the binary PSVM to the multiclass case. Unlike the one-versus-rest approach that constructs the ...