Emphasizes history of probability theory and computational approaches to probabilistic and causal inference.
重点介绍机率理论的历史，以及机率理论和因果推理的计算方法。
Bayesian network as, a very useful tool in data mining, can provide qualitative and quantitative relationship between attributes and probability inference.
贝叶斯网络是数据采掘的一个非常有效的工具，它能够定性和定量地分析属性之间的依赖关系，进行概率推理。
Emphasizes history of probability theory and computational approaches to probabilistic and causal inference.
重点介绍概率理论的历史，以及盖然论和因果推理的计算方法。
The forestage of the fusion model completes target presort and its post-stage is used to multi-period uncertainty inference and the whole set distribution of probability.
该推理模型前级采用神经网络并行子网，用于目标的预分类，后级采用证据理论用于多周期的不确定性推理和概率的全局分配。
Bayesian learning Theory represents uncertainty with probability and learning and inference are realized by probabilistic rules.
贝叶斯学习理论使用概率去表示所有形式的不确定性，通过概率规则来实现学习和推理过程。
In the control system, Bayes probability is introduced in the fuzzy RBF neural network and it intensity the inference ability and increase the servo precision.
在控制系统中，将贝叶斯概率引入到模糊rbf神经网络中，增强了系统的推理能力，提高了飞机各个航道位置的模拟伺服精度。
First, a statistical inference is made of the "bulk-cargo carriers system" so as to find out the regularities of the ships' arrivals and the probability distribution of loading and unloading times.
首先对“杂货船系统”进行了统计推断，找出杂货船到港分布规律及装卸时间的概率分布。
First, a statistical inference is made of the "bulk-cargo carriers system" so as to find out the regularities of the ships' arrivals and the probability distribution of loading and unloading times.
首先对“杂货船系统”进行了统计推断，找出杂货船到港分布规律及装卸时间的概率分布。
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