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- W44800189 abstract "This paper proposes an improved support vector machine (SVM) classifier by introducing a soft decision-making boundary for solving real-world classification problem. The soft decision-making boundary contains two parameters describing the offset and the shape, which are estimated automatically from the distribution of training samples around the boundary via a distribution of belief degree in the decision value domain. The SVM with soft decision-making boundary increases classification accuracy by reducing the effects of data unbalance and noises in the real-world data. Simulation results show the effectiveness of the proposed approach." @default.
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- W44800189 date "2008-02-06" @default.
- W44800189 modified "2023-09-25" @default.
- W44800189 title "An improved support vector machine with soft decision-making boundary" @default.
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