后验概率

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。

Some researchers have pointed out some weakness of the GLUE method, such as: indiscriminating acceptance of the simulation output of the model as its input, choosing the behavior parameters subjectively, excessively flat derivation posterior distribution and so on.

但是，由于方法存在理论上的缺陷，近来国内外研究者对GLUE方法提出一些质疑，如：对模拟结果不加选择、采用主观判断确定可行参数组的阈值、推导得出的后验概率分布过于平坦等。

The Bayesian tree provides strong support (PP=1.0) for the circumscription of families in Liliales, except for Smilacaceae. The interrelationships between families are also discussed.

贝叶斯分析结果显示，百合目内划分的7个科，除Smilacaceae科外，其余各科均为高后验概率(PP=1.0)支持的单系类群；文中作者还对各科间的系统关系进行了探讨。

The inference in Credal network is the computation of tight lower and upper bounds for conditional probabilities.A new algorithm for inference in Credal networks is presented based on the framework of bucket elimination.The burden of computation is alleviated by enumerating some of values and the accurate result is obtained.

Credal网络的推理是计算一定证据下的后验概率最大值和最小值，给出了一种Credal网络推理的新方法，该方法是在桶消元框架下通过枚举计算部分因子函数值，使计算量大大减小，并且可以得到精确的结果。

Key words: speaker verification; GMM; UBM; MAP

说话人确认；高斯混合模型；背景模型；最大后验概率算法

Firstly, the features were divided into L groups and the SVM hyperplanes were constructed for each feature of training set. Secondly, the testing set was tested by SVMKNN method, and the decision profile matrixes were obtained. Finally, these decision profile matrixes were implemented by multi-feature fusion method.

在该算法中，设样本集特征可分为L组，先用SVM算法根据训练集中每组特征数据构造分类超平面，共构造L个；其次用SVMKNN方法对测试集进行测试，得到由L组后验概率构成的决策轮廓矩阵；最后将其进行多特征融合，输出最终的分类结果。

This paper proposes an iterative Maximum A Posteriori probability channel estimation algorithm for MIMO-OFDM systems.

摘要该文提出了一种适用于MIMO-OFDM系统的迭代最大后验概率(Iterative-MAP)信道估计算法。

It also applies Maximum A Posteriori estimation techniques to remove Gaussian noise without damaging edges or details of the image.

此外，它还利用了最大后验概率估计以及相应优化算法的特点，在去除高斯噪声的同时，保护边缘和细节信息。

This paper presents an improved maximum a posteriori probability decoding algorithm for optimal decoding of parallel concatenated convolutional codes.

摘要该文给出了一种改进型最大后验概率译码算法用于实现并行级联卷积码的最优译码。

First, the optimal maximum a posteriori probability Turbo JD is analyzed, to which a simple scheme is then proposed.

文章首先讨论了最优最大后验概率Turbo JD算法原理，并对该算法提出了一种简化处理方案。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。