中文摘要：

介绍了一种用支持向量机（SVM）进行主动学习的方法，解决在某些机器学习问题中，训练样本获取代价过大带来的问题．与普通的SVM方法相比，该方法所需的样本量大大降低，而且可能达到更好的推广能力，在蒙文文本分类中的应用说明了该算法的有效性．

英文摘要：

An active learning method using SVM is described. It is used to solve the problem of the excessive expenses caused by obtaining the examples in the machine learning. Comparing with the general SVM, it greatly reduces the number of samples, and probably reaches higher generalization ability. Its application on Mongolian text classification shows a successful example.