| 1. | A new method of image de - noise based on wavelet packet and median filtering
基于马尔科夫约束最大后验概率三维显微图像复原算法 |
| 2. | Mandarin digit string recognition based on segment model using posterior probability decoding
基于后验概率解码段模型的汉语语音数字串识别 |
| 3. | Second , with the posterior probability weighting of the uncertain parameters , an augmented system is obtained for the uncertainty model
其次，将此不确定性模型通过不确定参数的后验概率加权，得到其增广系统。 |
| 4. | The linguistic knowledge of putonghua pronunciation was effectively introduced into the calculation of hmm based log posterior probability
新算法在隐马尔科夫模型的对数后验概率算法基础上，引入普通话发音的语言学知识。 |
| 5. | In the process of decision with risks , if we using sampling theory , the best decision in prior probability and modified posteriori probability can be obtained
在进行风险型决策过程中，若能结合抽样理论，就可以以最低的代价找到先验概率下及修正后的后验概率下选择最优决策方案。 |
| 6. | At first , the population sample data are split into subpopulation data sets over the whole test duration by using the posterior belonging probability of each observation to each subpopulation
利用对每个子总体的每次观察的后验概率将整个检验期间的总体样本数据分成子总体数据集。 |
| 7. | The efficiency of this algorithm can be recognized from the experimental results which are attached at the end of this thesis . this thesis ends with the study of the maximum a posteriori ( map ) method with
本文最后对最大后验概率估计法进行了研究,给出了最大后验概率估计法的原理、方法和步骤。 |
| 8. | To the problem that the standard svm does not provide probabilities output , the probabilistic outputs for support vector machines is modeled based on the maximum entropy estimation
针对传统的支持向量机方法不能提供后验概率的输出问题，从信息熵的角度采用最大熵估计方法，直接对支持向量机输出进行后验概率建模。 |
| 9. | In this paper , we consider the concatenation of bose - chaudury - hocquenheim ( bch ) and repetition codes and present soft - decision decoding schemes based on a map ( maximum a posterior probability ) criterion
在本文中，我们考虑了bch码和重复码的级联编码，并且基于最大后验概率准则，提出了一种软判决解码方法。 |
| 10. | Combined with the prior distribution of the model parameters and water quality observation data , joint posterior probability function which stands for the distribution characters was obtained by bayes ' theorem
结合模型参数的先验分布和水质监测数据，通过贝叶斯定理计算获得了表征参数分布规律的联合后验概率密度函数。 |
