希望能够用另一个向量中的值对一个无限随机向量进行初始化。
We would like to have the option of initializing an infinite random vector with the values in another vector.
因此，统计研究，例如帮助建立随机向量矩阵使用。
Thus, statistical study of such random vectors helped establish matrix usage.
主要对实际中常用的连续型随机向量的情形加以讨论；
The transformation of continuous case so often used in practice is discussed.
多元分析的一个重要内容就是研究随机向量之间的关系。
It is an important content of the multivariate analysis to study the relationship of random vectors.
采用矩阵的方式来描述两个随机向量的相关程度、有关性质。
In this paper, we figure the correlative degree, relevant properties of two random vectors with matrix mode.
通过引进批长度随机向量，确立了一类批处理排队网络的流体模型。
By bringing in random vector of the size of batch, the batch processing fluid model was established.
本文讨论了由随机向量微分方程描述的多变量连续系统的辨识问题。
In this paper, the identification problem of stochastic multivariable continuous-time system which is described by a stochastic vector differential equation is discussed.
并且将它推广到任意具有可数无限分布列的离散型随机变量和随机向量。
That could be extended to all discrete random variable and vector with the infinited countable distribution series.
探讨了在随机向量的一阶矩和二阶矩条件下，寻找补偿函数的期望值的一个上界的问题。
This paper inquires into the problem of finding an upper bound for the expectation of recourse function when only first and second moment constraints are available.
在模糊随机变量的基础上引入了模糊随机向量凸集的概念，给出了几个模糊随机凸集的例子。
Based on the concept of fuzzy random variable, the concept of convex sets of fuzzy random vectors is introduced, and some examples for such type of convex sets are given.
本文的目的是研究t检验的适用范围，给出了二维随机向量构成服从t分布统计量的充要条件。
The purpose of this paper is to find the applying region of the t test, i. e. the necessary and sufficient conditions for a two dimension variable forms a test, which possesses at distribution.
在球不变随机向量(SIRV)非高斯杂波背景下，研究了多脉冲相参雷达目标的自适应检测问题。
In the clutter modeled as spherically invariant random vector (SIRV), the adaptive coherent radar target detection is addressed.
本文给出了一些度量随机变量之间或随机向量之间的相关性的方法，尤其适用于定性变量之间的相关性。
In this paper, we sugg-est some kinds of the measures of correlation between random variables or random vectors, especially for the qualitative variables.
WEP 将 40比特或 104 比特密钥与随机的24 比特初始向量组合用以加解密数据。
WEP combines a 40-bit or a 104-bit key with a random 24-bit initialization vector to encrypt/decrypt data.
本文考虑在白噪声输入情况下，二阶向量差分方程随机输出信号的滤波估计问题。
In this paper a linear estimation problem for a stochastic process which is viewed as the output signal of a linear second-order vector difference equation driven by a white-noise input is considered.
以高斯曲率和法向量为随机变量，将洛伦兹曲线扩展为三维，得到洛伦兹曲面。
Taking gauss curvatures and normal vectors as random variables, Lorentz Curve was extended to 3d Lorentz Surface.
建立了半鞅向量随机积分的一个结果，能方便处理可料过程在向量随机积分意义下对半鞅的分解随可料过程不同而不同的问题。
It establishes a result which can be easily applied to the problem derived from the different predictable process in the decomposition of semimartingales in the sense of vector stochastic integrals.
为求出随机特征对的方差，借助于模态截断概念推出诸特征值与特征向量对随机变量的偏导数。
Partial derivatives of eigenvalues and eigen vectors with respect to random variables for structures are deduced by means of the concept of mode truncation.
采用关于网格理论的方法，对线性同余序列及向量列在其作为伪随机序列模拟均匀分布时的偏差加以讨论并给出估计。
This article deals with error bounds for linear congruential sequences and vectors which are used as pseudorandom Numbers and vectors of uniform distribution.
梯形模糊数样本是一类非随机样本，本文将讨论基于梯形模糊数样本的支持向量机。
The trapezoidal fuzzy number sample is one of non-real random samples. This dissertation will discuss the support vector machine base on trapezoidal fuzzy numbers.
考虑到电梯交通流本身所存在的非线性、复杂性和随机性，提出了一种基于小波支持向量机的电梯交通流预测模型。
Considering the nonlinearity, complexity and randomicity of elevator traffic flow, the prediction model of elevator traffic flow based on wavelet support vector machines was proposed.
密码学的随机生成数据经常被使用在如密钥、商业和初始化向量中。
Cryptographic random Numbers are often used as keys, padding, salt and initialization vectors.
另一类变量与向量函数呈非线性关系。 对于后一类变量，用弃舍随机方法先给出位置初值，然后将问题化为线性最小二乘问题，直接解超定方程组。
The overdetermined equations can be solved directly by using the rejection method to give the initial value of the position first and then converting the problem into a linear—square one.
本文提出了两个新的图上关键字搜索算法，使用了现代信息检索技术中的向量空间模型和随机游走模型来解决以上缺陷，使得查询结果更具语义信息。
In this paper, two novel algorithms are introduced, which employ the vector space model and random walk model to address the drawbacks above and make the results more semantical.
采用随机键，将连续的粒子位置向量转化为离散的解向量，并通过提出相对最短距离法来评价解集的优劣。
The random key was adopted to change from continuous particle position vectors to discrete solution vectors. And the method of relatively minimum distance was proposed to evaluate the Pareto muster.
最后介绍如何编写项目所采用的受约束的随机测试向量。
Also introduce how test vectors were generated based on constraints.
基于重启型随机游走的图上关键字搜索算法，在重启型随机游走模型的基础上加入了向量空间模型。
The first algorithm is based on random walk with restart model, which modifies the model to support vector space model.
在噪声去除阶段将随机游走的概念引入到向量排序中，通过最大化中心象素与周围象素的转移概率计算滤波器的输出。
It introduces random walk concept into vector ordering and finds the output which maximizes transition probability from central pixel to its neighbors.
在噪声去除阶段将随机游走的概念引入到向量排序中，通过最大化中心象素与周围象素的转移概率计算滤波器的输出。
It introduces random walk concept into vector ordering and finds the output which maximizes transition probability from central pixel to its neighbors.
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