Convergence of a generalized SMO algorithm for SVM classifier design

Convergence of a generalized SMO algorithm for SVM classifier design
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DOI:
10.1023/a:1012431217818
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发表时间:
2002-01-01
期刊:
影响因子:
7.5
通讯作者:
Gilbert, EG
Gilbert, EG
中科院分区:
计算机科学3区
文献类型:
--
作者:
Keerthi, SS;Gilbert, EG

文献摘要

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相似文献

证明了Keerthi等人提出的用于SVM分类器设计的改进SMO算法的广义收敛性。收敛结果也被推广到改进的SMO算法求解nu-SVM分类器问题.
Convergence of a generalized version of the modified SMO algorithms given by Keerthi et al. for SVM classifier design is proved. The convergence results are also extended to modified SMO algorithms for solving nu -SVM classifier problems.