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When the examples are too little, it is difficult to get good effect for machine learning if you use traditional statistics method. So the Statistics Learning Theory developed by Vapnik. is concerned mainly on limited examples. SLT provides us a perfect theory framework for the machine learning problem, at the same time a new general learning algorithm, Support Vector Machines, is developed. Now SVM become a hot area in the machine learning filed. In this article, we mainly introduce the design thought of SVM based on the SLT with the latest research results.

KEYWORDS

statistics learning theory,support vector machines,pattern classification

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Autor: Zhongxiao Hao, Xilong Qu, Yingchun Liu

Fuente: http://www.scirp.org/



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