2) structural risk minimization
结构风险最小化原则
1.
SVM is based on the rule of structural risk minimization.
支持向量机是一种突出的小样本数据分析方法,它基于结构风险最小化原则,在一个高维特征空间中构造最优分类超平面,在解决很多实际问题中具有优于其他方法的特点。
2.
Based on structural risk minimization principal,the influences of the error penalty parameter C and the kernel parameter σ on support vector machine s generalization ability are studied.
论文研究了高斯核支持向量机分类在IRIS分类问题上的应用,并结合结构风险最小化原则分析了误差惩罚参数C和高斯核宽度σ对SVM性能的影响,最后通过数值实验进一步分析了这种影响。
3) empirical risk minimization principle
经验风险最小化原则
1.
Then,the definitions of the empirical risk functional,the expected risk function- al and empirical risk minimization principle about gλ samples corrupted by noise are proposed.
引入了复gλ随机变量、准范数的定义,提出了受噪声影响的复gλ样本的经验风险泛函、期望风险泛函以及经验风险最小化原则严格一致性的定义;给出并证明了受噪声影响的复gλ样本的学习理论的关键定理,为系统建立基于复gλ样本的统计学习理论奠定了理论基础。
4) complex empirical risk minimization principle
复经验风险最小化原则
1.
Finally,the definitions of the complex empirical risk functional,the complex expected risk functional and complex empirical risk minimization principle on Sugeno measure space are proposed.
引入复g_λ随机变量、准范数的定义,给出了复g_λ随机变量的期望和方差的概念及若干性质;证明了基于复g_λ随机变量的马尔可夫不等式、契比雪夫不等式和辛钦大数定律;提出了Sugeno测度空间中复经验风险泛函、复期望风险泛函以及复经验风险最小化原则严格一致性等定义;证明并构建了基于复g_λ随机样本的统计学习理论的关键定理和学习过程一致收敛速度的界,为系统建立基于复g_λ随机样本的统计学习理论奠定了理论基础。
5) structural risk minimization principle
结构风险最小化原则
1.
The core concept of it was to use the structural risk minimization principle into the modeling process of rbf neutral network so that the rbf function center can be derived by calculate the support vectors of the model.
第一个模型是基于结构风险的灰色补偿神经网络模型(GRBFNN),其核心思想是将结构风险最小化原则应用到RBF神经网络的建模过程中,利用支持向量直接获得RBF函数中心和隐藏层节点数。
2.
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。
3.
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。
6) birandom empirical risk minimization principle
双重随机经验风险最小化原则
1.
Secondly some concepts such as birandom empirical risk functional,birandom expected risk functional and birandom empirical risk minimization principle are proposed.
提出双重随机经验风险泛函,双重随机期望风险泛函,双重随机经验风险最小化原则等概念。
补充资料：最小辐亮度与最小辐照度(见核爆炸火球)
最小辐亮度与最小辐照度(见核爆炸火球)
minimum-brightness and minimum-irradiance
zuixiao fuliangdu yu zuixiaofu乙haodu最小辐亮度与最小辐照度(minimum-brightness and而nimum一irradianee)见核爆炸火球。
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