| 支持向量分类方法理论基础的改进 |
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| 引用本文： | 张春华,田英杰,张跃峰.支持向量分类方法理论基础的改进[J].运筹学学报,2004,8(2):66-71. |
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| 作者姓名： | 张春华 田英杰 张跃峰 |
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| 作者单位： | 中国农业大学经济管理学院,北京,100083 |
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| 基金项目： | This work is supported by the National Natural Science Foundation of China (No. 10371131). |
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| 摘 要： | 支持向量机是通过求解对偶问题来解决原始问题的.针对线性决策函数f(x)=(w·x)+b,我们指出了其原有的逻辑系统中的错误,并通过严格的证明,对其理论基础作了改进.而且,对于阈值b,我们给出了一个新的简洁计算公式.
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| 关 键 词： | 线性决策函数 逻辑系统 阈值 运筹学 支持向量分类 Wolfe对偶 KKT条件 |
An Improvement to the Theoretical Foundation of Support Vector Classification |
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| Abstract.An Improvement to the Theoretical Foundation of Support Vector Classification[J].OR Transactions,2004,8(2):66-71. |
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| Authors: | Abstract |
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| Abstract: | The basic Support Vector Machine for Classification solves the primal problem by solving the dual problem. Considering the linear decision function f(x)= (w·x) + b, an essential drawback in its logic system is pointed out and a strict theoretical foundation is established. Furthermore, for computing the threshold b, a new compact formula is proposed first time. |
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| Keywords: | OR Support Vector Classification Wolfe Dual KKT conditions |
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