1) Smooth number
光滑数
2) smooth function
光滑函数
1.
The original signals with paper defects are convoluted with the smooth function firstly, then some signals are selected which both preserve the singularity of paper defects and weaken small signal fluctuations .
首先使用光滑函数与纸病信号进行卷积运算 ,然后选取能够保留纸病奇异性特征且同时削弱随机纹理所产生起伏的适当尺度下的信号 ,并对其实施进一步小波变换 ,去除大部分纹理起伏所对应的极大值线 ,最后利用极大值线与纵轴相交的截距来判断纸病。
2.
For the its,the Cauchy s mean value theorem that involves two smooth functions is extended to involving n smooth functions by,and thus obtaining differential mean value.
为拓展它的应用范围,利用相同的手法,将涉及两个光滑函数的柯西微分中值定理推广到了n个光滑函数的情形,得到另一种推广的微分中值公式。
3.
From the formula,the Abstract and concrete known integral formulas of a lot of smooth function in bounded domains can be obtained.
应用单位分解的方法及积分表示中核函数的构造理论,得到Cn空间中有界域上光滑函数的一个抽象积分公式。
3) smoothing parameter
光滑参数
1.
In according to the Bayesian explanation of the smoothing spline regression, the smoothing parameter l is regarded as the hyperparameter of the stratified Bayesian method.
从光滑样条回归的贝叶斯解释出发,将光滑参数l 看作先验分布中的超参数。
2.
One primary approach to estimate the parameter and nonparametric part is the method of penalized least squares method,generalized cross-validation(GCV)approach is a popular method for selecting the smoothing parameters.
对于这种估计方法,广义交叉验证法提供了一种确定光滑参数的方法。
3.
Then they studied the choice of smoothing parameters both in the regression function and error density.
运用泰勒展式讨论了非参数回归模型中未知误差分布函数f(e)的核密度估计^fn(e)的渐进性质,以及估计量^fn(e)中光滑参数的选择,并给出了f(e)的置信区间。
4) number of smoothing points
光滑点数
5) smoothing function
光滑函数
1.
Aiming at this problem,a new recursive formula of smoothing functions was got using the method of integral.
光滑函数在支持向量机中起着重要作用。
2.
used a polynomial function as smoothing function,and proposed a polynomial smooth support vector machine(PSSVM) in 2005,which improved the performance and efficiency of SVM for classification.
2005年袁玉波等人用一个多项式函数作为光滑函数,提出了一个多项式光滑的支持向量机模型PSSVM(polynomial smooth support vector machine),使分类性能及效率得到了一定提高。
3.
The property of the smoothing function and convergence of the algorithm.
提出求解广义支撑向量机(GSVM)优化问题的一种新的光滑函数法,克服了已有算法收敛速度慢且计算结构复杂的缺陷。
补充资料：数不胜数
1.数也数不清。形容很多。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
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