在相同条件下，最大后验概率译码算法比最大似然译码算法有更低误比特率，但由于计算量和复杂度过大而不适合硬件实现。
While the MAP algorithm offers better performance than the ML algorithm, the computation is complex and not suitable for hardware implementation.
对于解码状态参数，通过计算最大后验转移概率的方法作最佳估计，井给出了一种简化的计算方法。
The codec state is also estimated by computing the maximum posterior transition probabilities, with a simplified computing method described.
对于解码状态参数，通过计算最大后验转移概率的方法作最佳估计，并给出了一种简化的估计方法。
The codec states were estimated by computing the maximum posterior transition probabilities with a simplified computing method.
在计算的过程中，使用了未标记样本的信息计算语义出现的后验概率。
In the process, we calculate the posterior probability of semantics by unlabeled samples information.
在贝叶斯统计中计算一组竞争模型的后验概率及其相关贝叶斯因子一直是一个较难且有挑战性的课题。
Calculating posterior probabilities and related Bayes factors for a collection of competing models has been a difficult and challenging problem for Bayesian statisticians.
基于极大后验概率估计准则计算了位置偏差的估值。
The location disparity was estimated based on maximum a posteriori criterion.
另外，还给出了一种计算符号序列后验概率的简单方法。
In addition, a simple approach for calculating the a posterior probabilities of symbol sequences is suggested.
实验结果表明最大后验概率估计算法也能高效重建出高质量图像。
The experimental results show that the MAP algorithm can be able to efficiently reconstruct a high quality image.
先验概率与后验概率有不可分割的联系，后验概率的计算要以先验概率为基础。
The posterior probability is computed from the prior and the likelihood function via Bayes' theorem.
然后，依据识别结果进行字符分割，使用字符RNN对分割后的字符进行识别，并利用查表法计算字符的后验概率；
Secondly, based on the recognition result, connected characters are segmented, and then recognized by a character RNN. Characters' posterior probabilities are calculated by a table-looking method.
然后，依据识别结果进行字符分割，使用字符RNN对分割后的字符进行识别，并利用查表法计算字符的后验概率；
Secondly, based on the recognition result, connected characters are segmented, and then recognized by a character RNN. Characters' posterior probabilities are calculated by a table-looking method.
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