支持向量机的研究现状与进展
Research and development of Support Vector Machines
支持向量机是一种新的机器学习方法,由于其出色的学习性能,该技术已成为当前国际机器学习界的研究热点,在模式识别、回归估计、函数逼近等领域有了广泛的应用。该文论述了支持向量机的研究现状与进展,最后试探性地指出了今后进一步的研究方向
Support Vector Machines are a kind of novel machine learning methods,which have become the hotspot of machine learning because of their excellent learning performance.For machine learning tasks involving pattern recognition,regression estimation,and function approximation,the support vector machine has increasingly become a popular tool.In this paper a survey of research and development on the support vector is made and the direction of research of the support vectore machine have been pointed out probingly.
杜鸿飞、马义德、齐春亮
计算技术、计算机技术
支持向量机训练分类
Support vector machinetrainingcategorizing
杜鸿飞,马义德,齐春亮.支持向量机的研究现状与进展[EB/OL].(2005-03-15)[2025-04-26].http://www.paper.edu.cn/releasepaper/content/200503-94.点此复制
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