posteriori probability的意思

posteriori probability中文翻譯：

后驗概率

相似詞語短語

posterior probability───[數]后驗概率；事后概率

posterior probabilities───后驗概率

prior probability───先驗概率，事前機率

conditional probability───條件概率；條件幾率

empirical probability───實驗概率；[數]經驗概率

prior probabilities───先驗概率

classical probability───古典概率

雙語使用場景

SD as the initial model to the maximum a posteriori probability method in 150 training samples to identify the best, can reach 90.4 .───以SD為初始模型的最大后驗概率方法在150個訓練樣本時識別效果最好，可以達到90．4％ 。

Bayesian is one kind of method of posteriori probability obtained from priori probability according to new information.───貝葉斯方式是依據新的信息從先驗概率得到后驗概率的一種方式。

Last, combined with KNN algorithm for multi label classification, the maximum posteriori probability prediction function label unknown function protein is based.───最后，結合多標簽分類的k近鄰算法，統計k個近鄰中蛋白質的功能類數目，基于最大后驗概率預測未知功能蛋白質屬于的功能標簽類。

the general posteriori probability of each acoustic element is worked out and regarded as the scores for the confidence level.───計算每個音素的廣義后驗概率并將其作為置信度得分。

Probability models of classification, after determining the posteriori probability, can do optimal forecast to given measurement of x.───分類概率模型確定了后驗分類概率，就可以對給定的測量x做出最優的預測。

It chooses the number of edges and their locations according to the maximum a posteriori probability (MAP) principle.───它選擇的數量及其位置邊緣根據最大后驗概率（MAP）的原則。

SD as the initial model to the maximum a posteriori probability method in 150 training samples to identify the best, can reach 90. 4 .───以SD為初始模型的最大后驗概率方法在150個訓練樣本時識別效果最好，可以達到90.

the likelihood probability of an acoustic space and the general posteriori probability are calculated after trimming;───計算剪枝后聲學空間的似然概率和以及廣義后驗概率；

Adaptive nonlinear class estimation algorithm using parallel subband HMM maximum a posteriori probability───并行子帶HMM最大后驗概率自適應非線性類估計算法

英語使用場景

Source decoder calculates parameter's posteriori probability based on bit reliability from iterative channel decoder and residual redundancy of source parameter.

The Bayesian estimation is derived through statistical analysis and it is shown to be equivalent to the maximization of the a Posteriori Probability.

The application of a Gaussian Markov Random Fields (GMRF) based Maximum A Posteriori Probability (MAP) estimation for image Gaussian noise filter was presented.