belief network

英 [bɪˈliːf ˈnetwɜːk]

美 [bɪˈliːf ˈnetwɜːrk]

网络信任网络; 信念网络; 又称信念网络; 信度网; 置信网络

计算机

双语例句

The major contents are as follows: ( 1) With regard to the problem of low recall and precision in business information retrieval, an extended belief network based business information retrieval model has been proposed.
主要内容如下：（1）针对货源信息检索过程中的查全率、查准率低的问题，设计了基于扩展信任度网络的货源信息检索模型。
A Multi-Level Belief Network Model for Knowledge Acquisition
知识获取的多层证据网络模型
Considering the features of business information and effect of relationship among index words to retrieval performance, this model extends the belief network with four layers of nodes, and applies similarity thesaurus to expand the user query and describe the relationship among index words.
考虑货源信息的特征和标引词之间的相互关系对检索结果的影响，该模型采用四层节点的信任度网络模型，应用相似性叙词表扩展用户查询和描述标引词之间的关系。
Analysis of Quality Management Risk in Large Construction Projects Based on Bayesian Belief Network& A Case Study of Beijing-Shanghai High-Speed Railway Project
基于贝叶斯网络的建设项目质量管理风险因素分析&以京沪高速铁路建设项目为例
In the aspect of the network fault diagnosis, we study the fast network fault diagnose with the application of the Bayesian Belief Network.
在网络故障诊断方面，本文采用贝叶斯置信网，研究了网络故障的快速发现问题。
A Bayesian Belief Network ( BBN) is a graphic model that encodes joint probability distribution among uncertain variables, it express a potential dependent relationship between variables.
贝叶斯网是用来表示不确定变量集合联合概率分布的图形模式，它反映了变量间潜在的依赖关系。
The Causality Diagram theory, which adopted graphical expression of knowledge and direct causality intensity of causality, overcomes some shortages in Belief Network and has evolved into a mixed causality diagram methodology coped with discrete and continuous variable.
在因果图理论中，采用了图形化和直接因果强度来表达知识和因果关系，它克服了贝叶斯网的一些不足，已经发展成了一个能够处理离散变量和连续变量的混合模型。
With its local computation, each belief network node can be regarded as a processor.
由于其局部计算特性，每个信度网节点可视为一个处理器进行并行运算。
Algorithm to Transform Dynamic Causality Diagram Into Belief Network
因果图转换为信度网的算法
An On-Line Structure Learning Algorithm of Belief Network
信度网结构在线学习算法