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A Generalized Framework with Adaptive Weighted Soft-Margin for Imbalanced SVM Classification
In this paper, we present a new generalized framework with Adaptive Weight function for soft-margin Weighted SVM (AW-WSVM), which aims to enhance the issue of imbalance and outlier sensitivity in standard support vector machine (SVM) for classifying two-class data.
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