| 支持向量回归机二阶充分条件理论研究 |
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| 引用本文： | 蔡 春,苗利峰.支持向量回归机二阶充分条件理论研究[J].河北科技大学学报,2009,30(4):294-297,378. |
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| 作者姓名： | 蔡 春 苗利峰 |
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| 作者单位： | 1. 北京联合大学应用文理学院,北京,100083
2. 河北科技大学理学院,河北石家庄,050018 |
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| 基金项目： | 北京联合大学应用文理学院基金 |
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| 摘 要： | 支持向量回归机是数据挖掘的新方法。针对支持向量回归机所对应的回归问题给出了其解二阶充分条件成立的理论结果，结果表明支持向量回归机优化问题的解在一个很弱假设下即可满足二阶充分性；该理论为支持向量回归机优化问题解的灵敏度分析奠定了一定基础。
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| 关 键 词： | 数据挖掘 支持向量回归机 灵敏度分析 机器学习 |
| 收稿时间： | 2009/5/29 0:00:00 |
| 修稿时间： | 2009/8/15 0:00:00 |
Theoretical study on second order sufficient conditionsfor support vector regression |
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| CAI Chun and MIAO Li-feng.Theoretical study on second order sufficient conditionsfor support vector regression[J].Journal of Hebei University of Science and Technology,2009,30(4):294-297,378. |
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| Authors: | CAI Chun and MIAO Li-feng |
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| Institution: | CAI Chun, MIAO Li-feng (1. College of Arts and Science,Beijing Union University, Beijing 100083,China;2. College of Sciences, Hebei University of Sci ence and Technology,Shijiazhuang Hebei 050018,China) |
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| Abstract: | Support vector regression (SVR) is a new method for data mining. This paper presents one condition for second order sufficient property of support vector classification to hold. The condition is so weak that support vector classification meets it easily. The theory provides an important foundation for sensitivity analysis of SVR. |
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| Keywords: | data mining support vector regression sensitivity analysis machines learning |
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