4.7 Article

Kernel Based Data-Adaptive Support Vector Machines for Multi-Class Classification

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Summary: A new two-stage method is investigated to enhance the performance of the support vector machine classifier in imbalanced cases by adaptively scaling the kernel function. The algorithm effectively enlarges the separation between two classes and takes into account the location of support vectors in the feature space, improving classification accuracy.

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