基于概率解释算法的原理，提出了一种考虑工艺波动的RLC互连延时统计模型，该模型使用了对数正态分布函数。
Based on the theory of the probability interpretation algorithm, a statistical model of RLC interconnect delay in the presence of process variations was put forward.
遥感让算法把统计数据以一种能够理解的方式向农民解释田间环境，有助他们做出决策。
Remote sensors enable algorithms to interpret a field's environment as statistical data that can be understood and useful to farmers for decision-making.
接下来，我将向您完整地介绍算法的一个实现，然后我将简短解释为什么这些算法可以消除噪声。
In what follows, I'll walk you through an implementation of the algorithm, and then I'll explain briefly why these algorithms can undo noise.
“如果我们能收集到这些神经元的信号，对其用解码算法翻译出来，那么我们就让安装在瘫痪手臂上的机器人装置按照这些信号的要求动起来。”全·奎罗哥进一步解释。
'If we can get the signals from these neurons and interpret them with what is called decoding algorithms, then we can move a robot device placed on the paralysed arm,' added Quian Quiroga.
尽管有时会因不合适的解释而变得晦涩，相关的算法实现起来还是相当简单的。
Although sometimes obscured by bad exposition, the pertinent algorithms are fairly simple to implement.
答案要看 simplex算法背后采用的代数关系，但是有关它是如何工作的解释已经超出了本文的范围。
The answer is in the algebra behind the simplex algorithm, but explaining how it works is beyond the scope of this article.
在这一段的最后部分你应该解释为什么大范围的效率高的Zylon算法是实用的；例如，通过描述它能在哪里得到应用。
In the last part of this section you would explain why having a large-scale fast Zylon algorithm is useful; e.g., by describing applications where it can be used.
我将在本系列的下一篇文章中解释消息摘要算法的使用，但是现在只要知道我要在Kerberos客户机中使用MD 5消息摘要算法。
I'll explain the use of message digest algorithms in the next article of this series, but for now just note that I'm going to use the MD5 message digest algorithm in the Kerberos client.
如前一篇专栏文章中所解释的，DF A构造算法将该解析树转换成一组状态。
The DFA construction algorithm converts this parse tree into a set of states, as the previous column explains.
针对不同的社会网络，算法对这些事件的不同解释有巨大差别。
Algorithms will infer dramatically different social network structures based on different interpretations of these communications events.
我们都能理解自然语言，但目前为止还没有人能解释我们到底是怎么做到的，至少没有人把这个过程归纳出算法的形式。
We all do it, but so far no one has been able to explain how we do it, at least not in the form of an algorithm.
我们使用了一种透明的容易进行的计算法以及可以公开获得的数据，而且，在我们做推测的地方，我们都做了基本解释。
We used a transparent and accessible calculation, publicly available data, and, where we made assumptions, we explained their basis.
解释这些算法的细节已经超出了本篇文章的范畴，但接下来我们将看到这些关联和他们的属性是如何以及何时发送给客户端的。
Explaining these algorithms in detail is beyond the scope of this article, but now we will see how and when the associations and their properties are transmitted to clients.
而百度给我们的解释只有一句算法改变，再无音讯。
And Baidu has an algorithmic change only to our explanation, do not have phonic message again.
错误字符串元素提供可读的错误解释，它并不用于算法处理。
The fault string element provides a human readable explanation of the fault and is not intended for algorithmic processing.
因此我们首先需了解希伯特空间背景的基本观念，接着针对RKHS的解释说明平滑算法和先验算法之间的关系。
We first provide the background to the concept of Hilbert space, introduce RKHS, and then clarify the relation between smoothness and apriori knowledge on the solution in RKHS.
采用了属性构造法进行数据预处理，建立了数据挖掘模型，实现了关联规则算法，并对挖掘结果进行解释与分析。
A model of data mining is set up after preparation of data by means of attribute structure, and association rule algorithms are carried out. the data mining result is explained and analysed.
在可能性测度的粗糙集解释基础上，给出了模糊集与粗糙集的一个转化算法，从而建立了两种非经典集合之间的关系。
Based on the interpretation of possibility measure based on rough set, we give an conversion algorithm of fuzzy set and rough set, thus establish a connection between these two non-classical set.
文章将遗传算法用于测井解释中，研究多参数、非线性最优化测井数据处理问题。
It is used for multi parameter and nonlinear optimized data processing in log interpretation.
基于解释的分类算法可纳入知识工程中启发式分类的范畴。
A classification algorithm based on explanation could be put into the category of heuristic classification in knowledge engineering.
实际资料的相干时间剖面表明，该算法有效地突出了地层的高连续性特征，有利于层位追踪和断层解释。
The result of practical coherent time profiles indicates that the new algorithm can effectively enhance the continuity, which is helpful to track strata and explain faults.
因此，根据机动车与自行车交通流之间作用机制的解释，建立了混合式UE分配模型及其算法。
Therefore, a mixed deterministic UE assignment model and its algorithms are developed based on the interpretation of the reacting mechanism between vehicle and bicycle traffic flows in this paper.
当我们设计特征或者设计学习特征的算法时，我们的目标是一般都是把能解释我们观测的数据结果差别的“差别因子”从中分离出来。
When designing features or algorithms for learning features, our goal is usually to separate the factors of variation that explain the observed data.
在一类不确定推理模型中，可以用这类弱t -范数的性质来解释其平行传播算法所具有的直观特征。
The properties of the weak Tnorm can be used to interpret intuition features of parallel propagation algorithm in the kind of uncertainty reasoning models.
从石油测井数据解释的实际应用需求出发，提出一种新的基于三角形中线的数据序列分段算法。
Based on analyzing the relation of data points in time series, a novel series segmenting algorithm based on triangular midline is presented.
比较临床研究和生物晶片技术对同一种疾病的解释。确定哪些标准化技术或者特征选择演算法可以增加再现性。
Compare clinical studies with microarray expression for the same disease. Determine which normalization techniques or feature selection algorithm can enable increased reproducibility.
比较临床研究和生物晶片技术对同一种疾病的解释。确定哪些标准化技术或者特征选择演算法可以增加再现性。
Compare clinical studies with microarray expression for the same disease. Determine which normalization techniques or feature selection algorithm can enable increased reproducibility.
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