structural risk发音

意思翻译

结构性风险

相似词语短语

structural───adj.结构的；建筑的

risk───n.(Risk)人名；(英、阿拉伯)里斯克；vt.冒…的危险；n.风险；危险；冒险

structural mobility───结构性流动

structural functionalism───结构功能主义

structural integrity───结构完整性；结构的整体性

structural steel───结构钢；钢架；结构用钢材；结构钢，钢架

structural word───结构词，构造词；虚词

structural engineering───结构工程；（桥梁等的）结构工程学；建筑工程

structural unemployment───[劳经]结构性失业

双语使用场景

They USES Structural Risk Minimization and the kernel trick to solve the learning problems.───它使用结构风险最小化原则，运用核技巧，较好地解决了学习问题。

much greater structural risk occurs in temperate and tropical areas.───在温带和热带地区会出现更大的结构风险。

SVM can solve small sample problems and has good generalization ability using the principles of structural risk minimization.───向量机基于结构风险最小化原则，解决了小样本数据分类和泛化问题。

Secondly, on the basis of these bounds, the idea of the structural risk minimization principle based on birandom samples is presented.───以这些界为基础，给出基于双重随机样本的结构风险最小化原则。

Based on the above, the structural risk minimization principle of statistical learning theory based on complex random samples is explored.───结构风险最小化原则是统计学习理论的核心内容之一，是构建支持向量机的重要基础。

A much greater structural risk occurs in temperate and tropical areas.───在温带和热带地区会出现更大的结构风险。

Because the structural risk minimization principle makes SVM exhibit good generalization.───结构风险最小化原则使其具有良好的学习推广性。

It based on structural risk minimization can effectively solve the over study problem and the good extension and better classified accuracy.───它基于结构风险最小化原理，能有效地解决过学习问题，具有良好的推广性和较好的分类精确性。

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。

英语使用场景

An algorithm is presented through using structural risk minimization ( SRM ) based on statistical learning theory.

A much greater structural risk occurs in temperate and tropical areas.

On the early stage of the structural life-construction, the structural risk probability gets the maximal point. The safety accident will happen if the unseemliness way is adopted.

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

VC Theory for Regression and Structural Risk Minimization.