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- W2773532001 abstract "Recently proposed Multi-weight vector projection support vector machines (MVSVM) is an outstanding algorithm for binary classification. However, it measuring distance in the objective function by squared L2-norm, which is easy to find that the impact of outliers is exaggerated. To alleviate this, we propose an effective algorithm, termed as Robust MVSVM based on the L1-norm distance (L1-MVSVM). The distance in the objective of L1-MVSVM is measured by L1-norm. Besides, we design a powerful iterative algorithm to solve the optimal problem of L1-norm, whose convergence is theoretically ensured. Finally, the effectiveness of L1-MVSVM has been verified through extensive experiments." @default.
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- W2773532001 date "2017-12-06" @default.
- W2773532001 modified "2023-10-15" @default.
- W2773532001 title "Robust Multi-Weight Vector Projection Support Vector Machine" @default.
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- W2773532001 doi "https://doi.org/10.12783/dtcse/cmsam2017/16396" @default.
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