查询词典 abscissa of uniform convergence

The third part is the criterion of uniform convergence, commonly used methods.

第三部分就是本文的正题，判别一致收敛的常用方法。

This paper gives the necessary and sufficient conditions for distribution independent uniform convergence for real valued functions.

文章中充分的提到实函数之均匀收敛定理独立分类的必要及充份条件。

Through Weierstrass circle of students the importance of uniform convergence was made known.

通过威阿斯塔斯周围的学生，人们知道了一致收敛性的重要性。

With a view of this, we propose the key theorem and discuss the bounds on the rate of uniform convergence...

基于此种考虑，本文提出了样本受零均值噪声影响下的学习理论的关键定理，并讨论了零均值噪声样本下的学习过程一致收敛速度的界。

In view of the fuzzy characteristics of real world, fuzzy set theory and statistics with vague data are combined to generalize key theorem and bounds on rate of uniform convergence of learning processes as the base of statistical learning theory in this thesis.

摘要考虑到现实世界的模糊性，本文结合模糊集理论和模糊统计学的知识，对作为统计学习理论基础的关键定理和学习过程一致收敛速度的界进行推广，给出了模糊学习理论的关键定理和一致收敛速度的界。

In this paper,the problem of the rate of uniform convergence in the normal approximations of the Von Mises Statistics will be considered.

本文讨论了Von Mises统计量向正态逼近的一致收敛速度问题，在核函数仅满足二阶矩条件下，给出了上述收敛速度的上、下界，所得结果改进了 [2 ]中相应结论

In view of the uncertainty of the real world, trust theory and statistical learning theory are combined to generalize the key theorem and the bounds on the rate of uniform convergence of learning theory. This paper mainly investigates the basic problems of statistical learning theory with rough samples.

考虑到现实世界的不确定性，本文结合统计学习理论和信赖理论的知识，讨论了基于粗糙样本的统计学习理论的基本问题，对作为统计学习理论基础的关键定理和学习过程一致收敛速度的界进行了推广。

In this paper,first,a formula of the esˉtimation of functional iteration is discussed and a resultwhich is better than old one is obtained.Then a question of iterationlimit of functional serieses and uniform convergence is discussed.

首先讨论了函数迭代估计的一个关系式，得到了函数迭代估计的一个更好的结果；然后研究了函数序列在一致收敛下的一个迭代极限问题。

In accordance with the given demands of optimum data, precision distribution has been made with the help of optimum distribution theory and given the uniform convergence iteration method of optimum distribution.

最后给出了精度最佳分配的直接分配迭代算法和对偶分配法。

With a view of this, we propose the key theorem and discuss the bounds on the rate of uniform convergence of learning processes based on ERM principle when samples are corrupted by zero-expect noise.

基于此种考虑，本文提出了样本受零均值噪声影响下的学习理论的关键定理，并讨论了零均值噪声样本下的学习过程一致收敛速度的界。

Listen,point and check your answers.

听，指出并且检查你的答案。

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但以本院科针灸门诊在2005年1月—2006年6月期间共收治膝痛患者100余例，经过临床的诊断后，其中施以温针治疗的48例，疗效显著，报道如下。1临床资料本组病例48