为观察变量找到相应的隐含变量是一种有效的概率建模的方法。
A powerful approach to probabilistic modeling involves supplementing a set of observed variables with additional latent, or hidden, variables.
本文首先研究两种具有代表性的基于概率建模的标注算法，分别是共现模型和翻译模型。
This paper studies two representative annotation algorithms using probability models firstly. They are the Co-occurrence model and the Translation model.
针对目标综合识别过程中的复杂性和不确定性特点，利用贝叶斯网络融合模型对融合识别过程进行概率建模及推理。
For dealing with the complexity and uncertainty in the target identification fusion, the fusion model of Bayesian Networks is used.
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。
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.
因此，CARA采用基于地质学的概率理论分析与同类建模。
Therefore, the CARA relied on a probabilistic methodology of geological analysis and analog modeling.
针对预测试概率为5%和50%的不同情况进行了性能建模。
Performance was modelled for scenarios with pretest probabilities of 5% and 50%.
Busemeyer说，“量子概率可以提供更好的架构来为人类决定如何形成进行建模”。
"Quantum probabilities have the potential to provide a better framework for modelling human decision making, " says Busemeyer.
裂纹扩展曲线的建模是基于概率断裂力学的耐久性分析方法的前提。
Modeling of crack growth curve is the premise of the durability analysis based on probabilistic fracture mechanism.
然后介绍了用于人机一体化系统安全性建模的三种数据方法：概率逻辑法、马尔柯夫过程法和随即参数函数法。
Then, three safety modeling methods of human-machine system are introduced: probability logic method, Markov process method and random parameter function method.
FSQTL能够建模实时系统中的确定时间、概率时间、随机时间和模糊时间，并利用可能性实现对性能需求的分析。
FSQTL can model the deterministic time, probability time, stochastic time and fuzzy time, and analyze the performance by possibility in real-time systems.
对QQ用户挑选QQ服务器的方式进行了数学建模和验证，发现QQ服务器被用户选中的概率分布并不服从伯努利分布。
Through the mathematical modeling and verification of the way QQ users selecting servers, we find that the probability distribution isn't Bernoulli.
H MM具有较强的时序建模能力，是一种基于时序累积概率的动态信息处理方法。
HMM has a strong ability of sequential model building, and it is a kind of dynamic information processing method based on sequential accumulative probability.
信心网络和概率网络被专家设定，而不是从观察事物中得到，它们也属于概念建模方法。
Also belief networks and probabilistic networks belong to this area as far as they are defined by experts and not learned from observations.
最后使用最大熵马尔可夫模型对各个人的步态进行建模，完成了基于概率图的识别。
At last, maximum entropy markov model is used to model the gait sequences of each people and implements recognition based on probability graph.
文章进行了严格的数学建模，并给出了一种算法，可以使编码后码流中0、1码元的分布概率（趋向）均等；
The optimal case is derived, and a sub-optimal algorithm is constructed to make the probabilities of 0,1 bits equal.
综合应用概率论和可信性理论对随机和可认知混合不确定性参数进行建模，提出了基于概率论和可信性理论的不确定性设计方法。
The method of the uncertainty design using probability theory and credibility theory have been presented, which provides us with a useful modeling tool for random and epistemic parameter uncertainty.
其特点包括刚体在静态结构建模和三维概率密度的结果用两种不同的算法。
Features include rigid body modelling to result in static structures and three-dimensional probability densities using two different algorithms.
所谓最大熵方法就是遵循最大熵原则建模，也就是选择这样的一个统计概率模型：在满足约束的模型中选择熵最大的那个。
The so-called maximum entropy method is to find a model keep to the maximum entropy principle, which means select the statistic model that has the maximum entropy and satisfy all the constrains.
研究了基于小波域多尺度树结构的水下噪声信号统计概率模型的建模方法。
The statistics modeling method of underwater noise signal is studied. The hidden Markov tree model in wavelet domain is adopted to model the sea noise and various ship-radiated noise.
另一方面，机器学习领域中概率图模型由于其灵活的建模方式和成熟的算法在很多领域取得不少成功。
On the other hand, probabilistic graphical models from the area of machine learning make several successes in various fields.
把运动矢量场建模为高斯马尔科夫随机场，对丢失图像块的运动矢量采用最大后验概率方法恢复，其权值能够根据空间和时间信息而自适应选择。
The motion vectors of the damaged image macroblocks can be recovered adaptively by Maximum A Posteriori(MAP), and the weight is selected adaptively based o.
把运动矢量场建模为高斯马尔科夫随机场，对丢失图像块的运动矢量采用最大后验概率方法恢复，其权值能够根据空间和时间信息而自适应选择。
The motion vectors of the damaged image macroblocks can be recovered adaptively by Maximum A Posteriori(MAP), and the weight is selected adaptively based o.
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