Multi resolution least squares SVM solver

被引：0

作者：

Schouten, T ^{[1
]}

Suykens, JAK ^{[1
]}

De Moor, B ^{[1
]}

机构：

[1] Katholieke Univ Leuven, SISTA, ESAT, Dept Electrotech, B-3000 Louvain, Belgium

来源：

PROCEEDINGS OF THE 43RD IEEE MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS I-III | 2000年

关键词：

multi resolution analysis; least squares support vector machines; direct solution of large structured linear problems;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We discuss the use of multi resolution analysis (MRA) for fast approximate solution of large linear sets of equations arising in least squares support vector machine (LS-SVM) problems. When LS-SVMs are used on a low dimensional input space, the matrix of the linear set exhibits structure that leads to a sparse approximation In the wavelet domain. The amount of structure decreases with Increasing dimensionality. We will illustrate this principle by means of a small example.

引用

页码：1178 / 1181

页数：4

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