A method of outlier detection in regression is proposed making use of the character of structure risk function and KKT condition in support vector regression.
利用支持向量回归算法中结构风险函数较好的平滑性以及KKT条件，提出一种回归中的异常值检测方法。
A method of outlier detection in re-gression is proposed making use of the character of structure risk function and KT condition in support vector regression in this paper.
该文利用支持向量回归算法中结构风险函数的性质以及KT条件，提出一种回归中的异常值检测方法。
In this paper, an aiding system for the risk management of the technical innovation of the enterprise is presented, and a detailed description of its function and structure is included.
阐明了一个企业技术创新风险管理辅助系统，并对该系统的结构和功能进行了具体介绍。
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