structural risk minimization principle的意思|示意

Support vector machine is a learning technique based on the structural risk minimization principle as well as a new regression method with good generalization ability.

支持向量机是一种基于结构风险最小化原理的学习技术，也是一种新的具有很好泛化性能的回归方法。

Support vector machines is a new statistical learning method based on structural risk minimization principle, and it has integrated theory and valid learning generalization ability.

支持向量机是一种基于结构风险最小原则的新型机器学习方法，具有完备的理论依据和良好的学习泛化能力。

Structural risk minimization induce principle is used to control the bound on the value of achieved risk by controlling experiential risk and belief bound at the same time.

结构风险最小化归纳原则通过控制经验风险和置信范围来控制实际风险的界。

It has long been recognized that the Structural Risk Minimization (SRM) principle based on the concept of VC-dimension provides an excellent means for complexity selection of a learning machine.

因此，对统计学习模型的复杂性给出评价与选择的准则，一直是一个核心问题。

Support vector machine (SVM) is a novel and powerful learning method which is derived based on statistical learning theory (SLT) and the structural risk minimization principle.

建立在统计学习理论基础之上的支持向量机(SVM)，是一种基于结构风险最小的小样本机器学习方法。

The SVM (support vector machines) is a classification technique based on the structural risk minimization principle.

是一种基于结构风险最小化原理的分类技术。