对模型中每个上下文的预测概率从频率数计算，进行自适应更新。
Prediction probabilities for each context in the model are calculated from frequency counts, which are updated adaptively.
一个参数概率模型用于得到SBM谱密度，一个贝叶斯框架用于统计更新到本地记录。
A parametric probabilistic model is sought for the SBM spectral densities, and a Bayesian framework is used to statistically update it to local records.
随着软件项目的进行，该风险管理模型能够利用不断更新的项目数据持续地预测潜在风险，确定风险源并采取适当的应对措施降低风险发生概率。
Using new project data obtained from the process of software development, it can continually predict risks, identify sources of risks, and take proper measure to reduce risk occurrence probability.
该参量反映了网络趋于静止的趋势，并由更新理论推导出停留概率与随机路点运动模型的运动参数停留时间，最小速度和最大速度之间的关系式。
And the function of the relationship of the pause probability to the minimum velocity, the maximum velocity and the pause time of RWP is derived.
其中在时间贝叶斯网络研究中，分别提出了适用于非循环时间贝叶斯网络的基于模型化简的概率更新算法和一般概率更新算法。
The probability updating algorithm for acyclic Temporal Bayesian network based on model simplification and general probability updating algorithm for Temporal Bayesian network are presented.
本文的第二章得到了多重延迟更新风险模型中的破产概率的渐近表达式。
Chapter 2 delivers asymptotic forms for ruin probabilities in the multi-delayed renewal risk model with large claims as well as light tails.
利用更新理论和随机过程等方法，给出了模型生存概率所满足的微积分方程关系式和破产概率的一个上界估计。
The differential and integral equation for survival probability and a upper bound of ruin probability are given by using renewal theory and stochastic process approach.
利用更新理论和随机过程等方法，给出了模型生存概率所满足的微积分方程关系式和破产概率的一个上界估计。
The differential and integral equation for survival probability and a upper bound of ruin probability are given by using renewal theory and stochastic process approach.
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