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- W1990692804 abstract "In the application of machine learning, there is data imbalance problem generally. In view of multi-class imbalance particularities, in this paper a new method named Multi-SVDD is proposed. And it is presented aimed to solving the problem of multi-class imbalance based on the existing Support Vector Data Description (SVDD), which is used to solve multi-class learning questions and the solution method for two-class imbalance problem. It was verified on the UCI data set, and compared with multi-class classification method proposed. The experiment has indicated that the Multi-SVDD algorithm is efficient when it is used to solve the multi-class imbalanced classification problems." @default.
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- W1990692804 date "2009-10-30" @default.
- W1990692804 modified "2023-09-23" @default.
- W1990692804 title "A novel multi-class imbalance method based on the SVDD" @default.
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- W1990692804 doi "https://doi.org/10.1117/12.832374" @default.
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