Support Vector Method for Function Approximation, Regression Estimation and Signal Processing
Support Vector Method for Function Approximation, Regression Estimation and Signal Processing
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发表时间：
1996-12
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通讯作者：
V. Vapnik;S. Golowich;Alex Smola
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作者：
V. Vapnik;S. Golowich;Alex Smola
最近提出的支持向量（SV）方法用于估计回归，构建多维样条，并解决线性算子方程[Vapnik，1995]。在这篇演讲中，我们报告的SV方法应用这些问题的结果。
The Support Vector (SV) method was recently proposed for estimating regressions, constructing multidimensional splines, and solving linear operator equations [Vapnik, 1995]. In this presentation we report results of applying the SV method to these problems.