In this paper,linear and nonlinear SVMs are introduced based on the notion of optimal margin hyperplane,several popular training algorithms are presented,and some limitations and future research issues are also discussed.
该文首先引入最优超平面的概念,然后对线性SVMs和非线性SVMs进行介绍,给出一些常用的训练算法,并指出SVMs存在的局限和将来可能的研究内容。
参考来源 - 支持向量机研究·2,447,543篇论文数据,部分数据来源于NoteExpress
应用推荐