该算法能针对在样本有限的情况下，采用结构风险最小化准则，把学习问题转化为一个二次规划问题来获得最优解。
The method can transfer the learning problem into a second planning to acquire the optimal solution according to the principle of structure risk minimum under limited samples situation.
支持向量机是以统计学习理论为基础的，采用结构风险最小化原则代替传统经验风险最小化原则的新型统计学习方法。
It is a new statistical study method in which the traditional empirical risk minimization principle is replaced by structural risk minimization principle.
由于采用了结构风险最小化原则替代经验风险最小化原则，使它能较好地解决小样本学习问题。
It can solve small samples learning problems better by using structural risk minimization in place of experiential risk minimization.
由于采用了结构风险最小化原则替代经验风险最小化原则，使它能较好地解决小样本学习问题。
It can solve small samples learning problems better by using structural risk minimization in place of experiential risk minimization.
应用推荐