2) dimension of perceived risk
感知风险构成
3) Structure risk
结构风险
1.
In this paper,L_1 norm is employed to loose the bound of the VC dimension,and thus a new structure risk based on the L_1 norm is developed.
利用L1范数放宽函数集的VC维上界,构造出基于L1范数的结构风险。
2.
Support Vector machines (SVM) operate on the principle of structure risk minimization which not only keeps the empirical risk minimal but also controls VC confidence of discriminant functions,hence a better generalization ability is guaranteed.
支持向量机作为一种新的机器学习方法,由于其建立在结构风险最小化准则之上,而不是仅仅使经验风险达到最小,从而使对支持向量分类器具有较好的推广能力。
4) structural risk
结构风险
1.
The structural risk was considered in the goal function to avoid overfitting in traditional algorithms and then the parameter estimation of a Mamdani fuzzy system was converted to a quadratic optimization problem.
传统算法都存在过学习问题,该算法在目标函数中考虑了结构风险避免了过学习现象,并将模糊系统的参数寻优问题转化为一个二次规划问题进行求解。
2.
Based on the structural risk theory,a quantity estimation is proposed though empirical risk and confidence interval,and an evaluation formula for kernel function is given.
该文从结构风险出发,通过经验风险和置信区间2个方面对核函数的性能进行量化,给出评价核函数性能的公式,指出传统经验风险定义的缺陷,并提出了一个新的定义。
3.
The influence of generation ability based on the empirical risk minimization and the support vector machines based on the structural risk minimization are discussed.
介绍神经网络的统计学习过程和理论,讨论基于经验风险最小化的学习理论对神经网络推广性能的影响,分析基于结构风险最小化的支持向量机。
5) risk structure
风险结构
1.
Study on risk structure of hi-tech industry s modulization;
高科技产业价值模块的风险结构分析
2.
Analysis of the Industry s Risk Structure of the China Stock Market;
中国股票市场行业风险结构的实证分析
3.
Generally speaking,the maturity structure and risk structure of bond markets are the standards to compare the width and depth of bond markets.
从我国债券市场尤其是国债市场的实际出发 ,分析其期限结构和风险结构 ,发现在我国的债券市场上并不存在明显的期限结构和风险结构 ,这说明了我国债券市场正处于发展的初级阶段 ,债券的期限有待进一步合理 ,债券的品种也有待进一步丰富 ,其发展潜力是巨大
6) structural risk minimization
结构风险
1.
Based on analysis of the conclusions in the statistical learning theory,especially the structural risk minimization and the ε-insensitive loss function,a novel linear programming support vector regression is proposed.
通过对统计学习理论中的支持向量回归问题,特别是结构风险问题和ε-不敏感函数的分析,得到了一种新的支持向量回归算法。
补充资料：风险投资的风险
风险投资的风险是指投资活动中人们不希望的后果出现的潜在可能性。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条