查询词典 a priori bound

The concept of statistical property transformation is discussed according to the situation in which channel input is stationary and non-identically independent distribution with a priori known autocorrelation function.

在此基础上针对输入信号为平稳非独立同分布且有已知自相关函数的情况，引入统计特性变换，导出了变换阵的闭式解。

Study is made of Bayes estimation of the error rate proportionality parameter θ in the JM model for testing software reliability,leading to the a priori,a posteriori distribution of θ and the coresponding Bayes estimates on the Bayes assumption,Jeffrey s principle and conjugate dis- tribution,together with their comparison and discussion.

讨论了软件可靠性模型——JM 模型中故障率比例参数θ的 Bayes 估计问题，分别求出了在贝叶斯假设、杰弗莱原则和共轭分布原则下参数θ的先验分布、后验分布及相应的 Bayes 估计，并对它们进行了比较和讨论。

This algorithm does not need either a priori knowledge or a posteriori probability, and has convergence with excellent stability.

此算法无须先验知识或后验概率，具有良好的稳定收敛性。

We develop a statistical mechanics for this multi-polynomial distribution based on the equal a priori probabilities and the probability theory.

这样就可以利用等概率原理和标准的概率论建立一个适用于有限粒子数的多项式分布统计力学。

By studying the existing detection algorithms, this new MMSE SIC detection scheme is based on the reliability of the estimated a priori symbol probability.

在分析现有算法特性的基础了，提出了基于估计的先验符号概率可靠性的MMSE SIC检测算法。

B. Discussed how to create the evidence model in the theory of multi-information fusion, proposed an approach to creating the evidence model by using statistical data in order to solve the problem which is difficult to get a priori probability in advance.

研究了多信息融合理论中证据模型的建立问题，并提出了一种利用统计数据建立证据模型的方法，以解决因无法得到先验概率时证据模型的建立问题。C。

Gaussian mixture model calculated a priori probability and the probability of post-mortem procedures, using a large matrix computation, g...

计算高斯混合模型先验概率和后验概率的程序，采用大矩阵运算，大大提高了运行速度。

Gaussian mixture model calculated a priori probability and the probability of post-mortem procedures, using a large matrix computation, greatly improved speed.

计算高斯混合模型先验概率和后验概率的程序，采用大矩阵运算，大大提高了运行速度。

K2 algorithm using Bayesian network built from the a priori probability to achieve reasoning, structure learning, parameter learning.

详细说明：用k2算法从先验概率构建贝叶斯网络，实现推理，结构学习，参数学习用贝叶斯方法。

Our method generalize the conventional Viterbi decoding algorithm, not only the optimal path in channel decoding trellis but also the a priori probability of branches in multiple VLC source trees are considered.

本方法原理上推广了Viterbi译码算法，形成一个需要兼顾信道编码序列流的最优路径与多路信源编码状态转移树中的最大先验概率的译码算法。

The shaping method of noncircular part and the tool holder's radial motion characters in noncircular turning process are discussed in detail in the thesis.

论文详细研究了非圆零件的成型方法和加工过程中刀架的径向运动规律。

I have not really liked him,I do not like his this kind of disposition.

我没有真的喜欢他，我不喜欢他的这种性格。