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1)  sampling importance resampling
采样重要性重抽样
2)  importance sampling
重要性抽样
1.
This paper describes the difficulty of rare-event probability estimation using digital simulation method in the view of computation complexity, and focuses on the principles and construction methods of importance sampling plan.
重要性抽样法是一种最重要的提高抽样效率的方法,由于其适用范围广,容易实现,在通信网、航空航天、自动控制等系统的可靠性安全性仿真中得到广泛研究和应用。
2.
The undetected error probability of linear block codes for both error detection and correction is estimated with importance sampling.
研究用重要性抽样仿真方法估计线性分组码同时纠错和检错时的不可检错误概率。
3.
And the importance sampling technique is applied to improve the sampling efficiency.
进一步研究了采用重要性抽样技术提高抽样效率的问题。
3)  importance sampling
重要性采样
1.
Face tracking algorithm based on particle filter with mean shift importance sampling;
基于均值移动重要性采样的粒子滤波人脸跟踪算法(英文)
2.
A 3D model remeshing algorithm based on circular parameter domain and importance sampling is proposed in this paper.
给出了一个基于参数化和重要性采样的网格重建算法。
3.
To solve the important problem in particle filter that how to design the importance sampling function to propagate the particles, a novel particle filter based on observation likelihood importance sampling was proposed.
针对粒子滤波中如何来设计重要性采样函数进行动态粒子传播这个重要问题,提出了一种新的基于观测似然重要性采样的粒子滤波算法,该算法打破了常规粒子滤波先按某一重要性采样函数进行采样,再用观测似然进行粒子权重更新的思路,而是直接根据观测似然进行采样,然后再用先验转移概率进行粒子权重更新。
4)  importance sampling
重要抽样
1.
Study on an importance sampling method of structrural dynamic reliability;
结构动力可靠度的重要抽样法的探讨
2.
Fuzzy robustness analysis based on importance sampling and neural network;
基于重要抽样法和神经网络的模糊鲁棒性分析
5)  Important sampling
重要抽样
1.
An improved reliability sensitivity estimation of important sampling and its variance analysis;
改进的重要抽样可靠性灵敏度估计及其方差分析
2.
Since the main contribution to the integral comes from the domain in the neighborhood of the point of local maximum used in the asymptotic method,it is reasonable to assume that the most probable value of the important sampling density function equals to the local maximum.
由于概率积分的主要贡献来自于最大被积分式值对应点的周围,因此本文的重要抽样法假定重要抽样函数的最大似然值等于最大被积分式值对应点值。
6)  importance resampling
重要性重采样
补充资料:重置抽样
重置抽样是从总体中每抽取一个样本单位后,将它再放回总体内,使它在下一次抽样中仍有被抽取的机会。这样,在抽样过程中,总体单位数始终保持不变,各单位被抽中的概率也完全相同。
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