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A Generalized Framework with Adaptive Weighted Soft-Margin for Imbalanced SVM Classification
March 14, 2024, 4:46 a.m. | Lu Jiang, Qi Wang, Yuhang Chang, Jianing Song, Haoyue Fu
cs.CV updates on arXiv.org arxiv.org
Abstract: Category imbalance is one of the most popular and important issues in the domain of 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. The weight coefficient is introduced into the unconstrained soft-margin support vector machines, and the sample weights are updated before each …
abstract arxiv classification cs.cv domain framework function generalized issue outlier paper popular svm type
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