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prior probability相关的网络例句

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与 prior probability 相关的网络例句 [注:此内容来源于网络,仅供参考]

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 second step is to evaluate for BN, decide prior probability and conditional probability.

再为贝叶斯网络赋值,确定先验概率和条件概率。

By means of equilibrium outcome analysis of merger game, it gives the decision basis that rational firm strategically selects merger model and analyze the interests conflict between consumers and firms and government under the equilibrium merger model in the imperfect information analysis, by means of the prior probability of firm marginal cost described by continuous distribution function, the passage clarifies the relations between pre-emptive merger with rational expectation and equilibrium merger model, in the vertical relation industry.

在对不完全信息下企业兼并博弈的分析中,通过以连续分布函数形式描述的企业边际成本的先验概率,本文给出了具有纵向关系的产业中,具有理性预期的先置兼并作用及与均衡的兼并模式之间的关系。

For each decision alternative, calculate the weighted average of its payoff by multiplying each payoff by the prior probability and summing these products. This is the expected payoff.

对于每一种被择方案,将每一个收益乘以相应自然状态的先验概率,再把乘积相加就得到收益的加权平均,这就是被择方案的期望收益

For the first time, from mathematics approach, the prior probability distribution of risk analysis was derived by the use of POME in two cases that were discrete and continuous information source.

首次分离散信源和连续信源两种情况,从数学途径阐述了POME在确定风险分析先验概率分布中的应用,以确定几种常用分布及估计其参数为例加以了解释。

In the process of recognition, the prior probability is supposed to be the same, the posterior probability is calculated according to GMM, and then the instrument class is determined.

乐器识别在科学研究和实际应用中有重要意义。目前人们对于音频有不同的认识,还没有一种成熟的理论用于研究人类如何识别声源。

Most arithmetics of data fusion have its default in the processing to uncertain and unintegrity data. The method of probability and statistics is difficult to obtain the prior probability of the occurrence.

数据融合的方法很多,但现有算法都有各自的优缺点,因而也都有各自的适用范围,到目前为止尚未形成统一的算法理论。

While investigating the verdicts by balance of probability in civil procedure and their theoretical basis, it introduces verdicts by the flexible standard and prior probability approach and their theoretical basis.

在阐述民事诉讼盖然性权衡的判例及其基础理论的同时,相继就灵活性的证明标准和预先盖然性方法的判例及其基本理论予以了介绍。

Monte Carlo is a method that approximately solves mathematic or physical problems by statistical sampling theory. When comes to Bayesian classification, it firstly gets the conditional probability distribution of the unlabelled classes based on the known prior probability. Then, it uses some kind of sampler to get the stochastic data that satisfy the distribution as noted just before one by one. At last, it can obtain the posterior probability distibution of each unlabelled classes by analysing these stochastic data.

蒙特卡罗是一种采用统计抽样理论近似求解数学或物理问题的方法,它在用于解决贝叶斯分类时,首先根据已知的先验概率获得各个类标号未知类的条件概率分布,然后利用某种抽样器,分别得到满足这些条件分布的随机数据,最后统计这些随机数据,就可以得到各个类标号未知类的后验概率分布。

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