支持向量机研究与应用

支持向量机是在统计学习理论基础上发展起来的一种新的机器学习方法，同时也是到目前为止统计学习理论最成功的实现。支持向量机在模式识别、回归估计、函数逼近等领域有了广泛的应用。论述了支持向量机的研究、应用状况，指出了支持向量机研究和应用中待解决的一些问题和今后进一步的研究方向。

Research and Application of Support Vector Machine

A support vector machine is a new machine learning technique developed on the basis of statistical learning theory, and it is the most successful realization of statistical learning theory. For machine learning tasks involving pattern classification, regression estimation, and function approximation, the support vector machine has increasingly become a popular tool. In this paper a survey of the recent new development on the research and application of the support vector machines is made. Some important issues to be investigated in application and the direction of research of the support vector machine have been pointed out simultaneously.