后验的

词组短语

a posteriori

与后验的相关的网络例句 [注：此内容来源于网络，仅供参考]

In this algorithm, the direction-of-arrival is assumed to be a discrete random variable with a priori probability density function defined on a set of candidate points. Whether or not the secondary sample is required is based on the a posteriori probability distribution of a set of candidate point"s, which can be calculated from the array received signals. And then, the resulting beamformer is a weighted sum of the beamformers pointed at the latest set of point"s, which are combined according to the value of the a posteriori probability for each pointing direction.

在该算法中，期望信号的波达方向被看作是一个定义在若干候选波达方向上的离散随机变量，由阵列接收信号计算出各候选波达方向的后验概率，并将后验概率的分布作为是否需要进行二次采样的判断标准；随后，对各波达方向上的波束成形权值线性加权，便可得到自适应波束成形器，权系数为各候选波达方向的后验概率值。

If further refinement is to be performed then the aposteriori error estimators are used as a guide as to show the refinement mightbe accomplished most efficiently.

尽管加密的方法几乎总是根据后验误差估计来进行自适应，但对于移动网格方法来说，我们还没有看到使用后验误差估计构造控制函数的文献。

Finally we studied the problem of the lower Bayesian confidence limit on the process capability index C_ The Jeffreys'non-informative prior distribution depending on Fisher's information is explored. The posterior distribution of C_is conducted.

最后，研究了C_pm指数置信下限的问题，通过Fisher信息阵确定Jeffrey无信息先验分布，推导出C_pm的后验分布，并据此采用最大后验密度方法构造了贝叶斯置信下限。

We will demonstrate the specification of reference prior distribution on the random covariance matrix. We will consider the approximate uniform shrinkage prior and approximate Jeffreys' prior. Both are formulated based on the approximated likelihood function. Under generalized linear mixed models, we show that the posterior mode under Jeffrey's prior is asymptotically closer to the REML estimate than the mode under uniform shrinkage prior does.

在广义线性混合模式下，我们证明了在样本数很大时，随机效应之变异数成份的后验众数和REML估计值会近似相等，同时也建立了后验众数和REML估计值的近似关系式，并提出了比较二种后验众数与REML估计值之间远近的准则。

Then give a conveniency and applied Bayes-information fusion method when prior information comes from different sources, and find the prior distribution and posterior distribution of the failure rate.

然后，在产品具有多源验前信息源的情况下，给出了一种方便实用的Bayes信息融合方法，充分融合各验前信息，得到产品失效率的验前分布及后验分布。

This paper presents a novel multiple object segmentation algorithm based on a Bayesian framework. According to the characteristic of the intra-frame and inter-frame information, a representation of Maximization of the A posteriori Probability of spatio-temporal label field is proposed. So a minimization of energy function is obtained.

摘要该文提出了一种基于贝叶斯框架的时空标记场最大后验概率的多视频对象分割算法，根据视频序列帧间和帧内信息的不同特点，建立基于多个对象分割标记场的最大后验概率公式，并导出其最小能量函数，通过求解最小能量使其分割标记的后验概率达到最大。

The method comprises the steps: S402: an inverse process multiplexing for a terminal to transmit channels; S404: CRC verifies a statistical module and judges whether CRC verified calculation in the inverse process is right and after relevant processing is taken according to the results of the judgment, the right circumstances in the CRC verification in the reverse process are added up; S406: the terminal outputs the link quality of the transmission channels according to the stastical results of the verified statistical module in the CRC; S408: RNC sends out request message for counting, and the terminal makes response to the counting in pre-set conditions and feedbacks the link quality of the transmission channels; S410: after receiving the counting response of the preset quantity, the RNC counts the link quality given feedback by the terminal and confirms whether to regulate power allocation of the signal channel loading MBMS according to the statistical results.

本发明提供了一种采用外码增强技术反馈链路质量的功率分配调整方法包括：S402，终端进行传输信道复用的逆过程；S404，CRC校验统计模块判断逆过程中的CRC校验计算是否正确，并且在根据判断结果进行相关处理后，统计逆过程中CRC校验的正确情况；S406，终端根据CRC校验统计模块的统计结果输出传输信道的链路质量；S408，RNC发送计数过程请求消息，并且终端在预定条件下响应计数，并反馈传输信道的链路质量；S410，RNC在接收到预定数量的计数响应后，统计终端反馈的链路质量，并根据统计结果确定是否调整承载MBMS的信道的功率分配。

In order to design an actual pile foundation it is common to collect as much as possible information concerning pile ultimate load capacity for that project from available sources, induing estimation by using some empirical formulas, thus it forms an estimation distribution.

为具体桩基工程的设计，从各渠道收集到的有关该工程的极限承载力信息，包括用各种经验式估算，构成一个估计分布，然后结合实地进行的静载荷试验资料应用Bayes理论将上述各项数据进行综合更新，最终得到一个后验的极限承载力均值及其标准差。

The computation of posterior probability considers the evidence E certain without dealing with uncertain evidence,in terms of this,the posterior probability is split the difference according to the probability of evidence appearing in Bayesian network and its extension network of Credal network,and is expressed by Credal set so as to provide the base of decision-making for decision-maker.

任何变量的后验概率计算都假定证据变量E是确定的，无法处理不确定证据下的后验概率。针对这个问题，提出在贝叶斯网络及其扩展的Credal网络中应用证据出现的概率对后验概率进行折中处理，并用不确定的Credal集表达其结果，从一定程度上为决策人员提供有意义的决策依据。

The computation of posterior probability considers the evidence E certain without dealing with uncertain evidence,in terms of this,the posterior probability is split the difference according to the probability of evidence appearing in Bayesian network and its extension network of Credal network,and is expressed by Credal set so as to provide the base of decision-making for decision-maker.

中文摘要：任何变量的后验概率计算都假定证据变量E是确定的，无法处理不确定证据下的后验概率。针对这个问题，提出在贝叶斯网络及其扩展的Credal网络中应用证据出现的概率对后验概率进行折中处理，并用不确定的Credal集表达其结果，从一定程度上为决策人员提供有意义的决策依据。

与后验的相关的网络解释 [注：此内容来源于网络，仅供参考]

crazyweed：疯草(牲畜食后引起疯草病)

crazy | 疯狂的, 狂热的, (指建筑等)不安全的 | crazyweed | 疯草(牲畜食后引起疯草病) | CRC | 循环冗余码校验

parity bit：校验位

校核数据完整性的一种方法,一个字节的8个数据位与校验位(parity bit)加起来之和有奇数个1. 校验线路在收到数后,通过发生器在校验位填上0或1,以保证和是奇数个1. 因此,校验位是0时,数据位中应该有奇数个1;而校验位是1时,数据位应该有偶数个1.

Posterior distribution：后验分布

参数被看成是随机变量,它的概率分布有两种:第一种是在试验之前就已经知道的被称为先验分布(prior distribution),它可以通过对以往的关于参数的知识进行总结作一个主观判断得到;第二种是在试验之后得到的被称为后验分布(posterior distribution).

posterior probability：后验概率

主流的金融学理论中,一般把人们对不确定条件下各种未知变量的认知假定为了解其概率分布;而具体到决策过程,则认为个体所遵循的基本法则是贝叶斯规则,即人们根据新的信息从先验概率(prior probability)得到后验概率(posterior probability)的方法.

posteriority：后天性的

posterior probability 后验概率 | posteriority 后天性的 | postfebrile dementia 发热后痴呆

Prior probability：先验概率

主流的金融学理论中,一般把人们对不确定条件下各种未知变量的认知假定为了解其概率分布;而具体到决策过程,则认为个体所遵循的基本法则是贝叶斯规则,即人们根据新的信息从先验概率(prior probability)得到后验概率(posterior probability)的方法.

regularization：规则化

缩写为MAP)估计方法根据经验数据获得对难以观察的量的点估计. 它与最大似然估计中的 Fisher 方法有密切关系,但是它使用了一个增大的优化目标,这种方法将被估计量的先验分布融合到其中. 所以最大后验估计可以看作是规则化(regularization)的最大似然估计.

verify：校验

在"族表"(Family Table) 中,使用"工具"(Tools)>"校验"(Verify) 命令,可加快将实例调入进程的过程,以便可将其添加到实例索引文件中. 校验后保存普通模型会引起把那些被成功重新生成的所有实例加到实例索引文件中. .idx 文件是文本文件,

a posteriori：后验

在知识论上,到底数学真理是先验(a priori)、后验(a posteriori)、还是约定俗成(conventionism)的呢?如果是先验,为什麽能够应用在物理界内、能跟偶存、随机的感官世界相吻合呢?另外,既然放诸四海皆准,为何其内部会有如Burali-forti或罗素所提出的悖论的产生呢?

a posteriori：后验的

模仿自然科学探求数学化的、经验主义的、可验证的实证客体,并且通过观察、比较、实验、分析和归类过程对法律进行"科学研究". 或者说,这种标榜"科学性的法学"以后验的(a posteriori)方法取代先验的(a priori)方法,象物理学那样