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Imbalanced dataset learning is an important practical issue in machine learning, even in support vector machines (SVMs). In this study, a well known reference model for solving the problem proposed by Veropoulos et al., is first studied. From the aspect of loss function, the reference cost sensitive prototype is identified as a penalty-regularized model. Intuitively, the loss function can change not...
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