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- Meanwhile，by applying symbol-constrained method to MAP algorithm，not only the a priori probability of VLCs sources is efficiently utilized，but also the Symbol Error Rate（SER） is reduced enormously. 同时，通过将“符号约束”的思想应用于最大后验概率（MAP）译码算法，不仅充分利用了信源先验信息，而且极大地降低了误符号率。
- The principle of equal a priori probability 二、等几率定理
- postulate of equal a priori probabilities 等概率假设
- How synthetic judgment a priori are possible? 而是先天综合判断如何可能的。
- Every Proof a priori proceeds by Causes either real or virtual. 演绎法的证明每次应从真正的或可视为真的原因开始。
- Since it is the probability density, it must be single-valued. 因为它是几率密度，因此必须是单值的。
- a priori probability 先验概率
- There was a priory in the small town. 这个小镇里有个小修道院。
- We get a buildup of electronic probability density between the nuclei. 我们得到在两个核间的电子几率密度的堆积。
- However, the detection probability of local sensors generally is a priori unknown for an uncooperative target. 然而，对于非合作目标而言，局部传感器的检测概率往往是先验未知的。
- Optimal Distributed Decision Fusion with Fuzzy a priori Probabilities and Fuzzy Cost Functions Based on Minimum Bayesian Risk Criterion 先验概率和代价函数均模糊时基于贝叶斯最小风险准则的分布式决策融合
- Sample Percentage Presentation of Joint Probability Density of Two Random Variables. 二维随机变数联合机率密度之取样百分比。
- A priori--existing in the mind independent of experience. 独立于经验而存在于心灵的。
- We cannot decide a priori what it is that should be done. 我们无法预先决定应当做些什么。
- The analytic solutions of the probability density of the steady-state responses of Coulomb sliding systems with gradually strong springs to Gaussian white noise are derived. 利用等效线性化方法推导了具有渐硬非线性复位弹簧的滑动系统的高斯白噪声激励稳态随机响应概率分布的解析解。
- If cumulative is TRUE, EXPONDIST returns the cumulative distribution function; if FALSE, it returns the probability density function. 如果cumulative为TRUE,函数EXPONDIST返回累积分布函数;如果cumulative为FALSE,返回概率密度函数。
- In this paper, the method of generating random number with given probability density function is proposed by using vertical density representation. 摘要本文首先介绍基于垂直概率密度表示的，给定密度函数的随机数生成的通用方法；
- The structure of PMN is a four layer feedforward neural networks(FNN), where the Gaussian probability density function is realized as an internal node. PMN网为一个四层前馈网，它构成一个贝叶斯分类器，实现多类分类的贝叶斯判别，把输入的说话人语音数据模型参数通过网络变换为输出的说话人判定。
- Requires that the system has some additional a priori information available. 需要系统有一些额外的信息。
