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OALib Journal期刊
ISSN: 2333-9721
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An Improved SMO Algorithm
一种改进的SMO算法

Keywords: SVM,SMO,KKT condition
SMO算法
,支持向量机,机器学习算法,目标函数

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Abstract:

In this paper we have pointed out an important source of inefficiency in SMO algorithm that is caused by the operation with a single threshod value. We have suggested modifications of SMO algorithm that overcome the problem by efficiently maintaining and updating two threshold parameters. Our experiments show that these modifications speed up the SMO algorithm.

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