贝叶斯

The samples actually observed. In contrast Bayesian methods view the parameters as random variables having some known a priori distribution.

与此不同的是，贝叶斯估计则把待估计的参数看成是符合某种先验概率分布的随机变量。

First, the concept emergence probability is assumed to be a random variable with a priori Beta distribution. Second, its priori parameters are designated by the distance-based similarity algorithm, calculated by Bayesian Estimation.

该算法首先假定概念出现概率是符合Beta分布的随机变量，然后基于语义距离的相似度算法计算先验参数，并根据统计样本计算该先验分布下基于最小风险的贝叶斯估计后验参数。

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。

By means of proposing a priori Markovian transition probability used in the model predictive probability in input synthesize, the IMM estimation algorithm not only utilizes the sufficiency system's posteriori information, but also utilizes rationally the system's priori information, which enhances estimation performance highly Theoretical analysis and simulation show the IMM algorithm is one of the most cost-effective schemes in all generalized pseudo Bayesian algorithms.

IMM估计方法通过在用于输入综合的模型预测概率中引入一个马尔可夫先验转移概率，使得IMM估计不但充分地利用了系统的后验信息，而且合理地利用了系统的先验信息，从而大大地提高了估计的精度和性能。理论分析和仿真结果表明：IMM估计方法是各种广义伪贝叶斯算法中性能最优的一种自适应估计算法。

As the graph of Bayesian network is required to be a directed acyclic graph, which was changed during the constructing process, checking for cycle is need in the interaction.

由于贝叶斯网的网络结构要求为一有向无环图，并且此图在交互建网过程中时刻变化，所以要在交互过程中反复检测环路是否存在。

Bayesian network is composed of directed acyclic graph and probability chart; it can modify the prior probability density dynamically and improve the accuracy of classification.

该文介绍了利用贝叶斯网络对遥感数据进行分类处理的算法和技术过程。

Bayesian network is composed of directed acyclic graph and probability chart;it can modify the prior probability density dynamically ...

分类结果表明：贝叶斯网络具有稳定的数学基础，是一种可供遥感信息处理领域利用的有效新方法。

The experimental data indicates, that this improved method can improve the algorithm accuracy appreciably.

实验数据表明，这个改进的方法能提高朴素贝叶斯的算法精确度。

Firstly, the application of single channel signal processing in many fields is introduced, and then the separability of multi-component mixing signal is discussed.

从贝叶斯的迭代估计入手，介绍了线性高斯下的最优解：卡尔曼滤波，回顾了现有的一些非线性滤波算法。

But because of their philosophical training in the rigours of Pascal's method, the Bayesian bolt-on does not come easily to scientists.

但是由于帕斯卡定理严格的哲学思想，贝叶斯定理中的紧密相关概念并不能轻易让科学家们所接受。

On the other hand, the more important thing is because the urban housing is a kind of heterogeneity products.

另一方面，更重要的是由于城市住房是一种异质性产品。

Climate histogram is the fall that collects place measure calm value, cent serves as cross axle for a few equal interval, the area that the frequency that the value appears according to place is accumulated and becomes will be determined inside each interval, discharge the graph that rise with post, also be called histogram.

气候直方图是将所收集的降水量测定值，分为几个相等的区间作为横轴，并将各区间内所测定值依所出现的次数累积而成的面积，用柱子排起来的图形，也叫做柱状图。