The preciseness of this data depends upon a large number of factors such as the type of sampling algorithm used, the number of samples taken, and the skew of the data.
这种数据的准确性取决于很多因素，例如采用的抽样算法的类型、抽样的数量和数据的歪斜情况。
The model simplification algorithms can be divided into four main categories: vertex clustering, incremental simplification, the sampling algorithm and adaptive subdivision.
根据简化算法的简化方式可将其分为四大类：顶点聚类算法、增量式简化算法、采样算法和自适应细分算法。
A stratify sampling algorithm for extracting classification rules is proposed in the dissertation.
提出一种面向分类规则提取的分层抽样算法。
This paper presents a developed approach for computing the offset of free-form surface using an adaptive sampling algorithm.
应用基于形状的自适应采样算法，给出了一种自由曲面的偏置算法。
The existing solutions use hash-based flow sampling algorithm, which assumes that the uniform random hash functions are available.
现有解决方案使用基于哈希流抽样算法，其基本假设是存在均匀随机哈希函数。
To overcome the disadvantage of numerical simulation, a line sampling algorithm is developed for FRS analysis with correlative variables.
为了解决数字模拟方法效率低的问题，提出了相关变量模糊可靠性灵敏度分析的线抽样方法。
Simultaneously, this paper introduces an adaptive sampling algorithm which can compute the size and distribution of sample areas usefully to reduce the redundancy of computation.
同时提出一种自适应特征点采样选取算法，对采样块的大小及分布进行选择，避免了计算的冗余性。
The paper introduces the principle of the two-point sampling algorithm and programming idea of AC sampling in a power station monitor system, and presents some chief program code.
介绍了电站监控系统中交流采样的两点采样算法和程序设计思路，并给出了部分主要程序代码。
First, this paper presents a shape-keeping and adaptive feature points sampling algorithm, which can reduce storage and computational requirments in the post-processing procedure.
本文首先提出了一种保持轮廓形状特征的自适应特征点采样算法，该算法大大减少了后续处理的的存储量和计算量。
Inaccuracies in the present proportionate stratified sampling algorithm based on fuzzy failure rate data is one main cause which makes the testability demonstration results untrustworthy.
现有的分层抽样算法中故障率数据不准确是导致测试性验证试验结果不可信的一个原因。
Inaccuracies in the present proportionate stratified sampling algorithm based on fuzzy failure rate data is one main cause which makes the testability demonstration results untrustworthy.
现有的分层抽样算法中故障率数据不准确是导致测试性验证试验结果不可信的一个原因。
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