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bayesian网络
    Learning Bayesian Network Structures Based on MDL and Hybrid Genetic Algorithms
    基于MDL原理与混合遗传算法的Bayesian网络结构学习
    An New Intrusion Detection Method Based on ICA Model and Naive Bayesian Network
    一种基于独立分量分析和Naive Bayesian网络的入侵检测方法
    Research on Orienting Edges of Bayesian Network Based on Information Theory and Genetic Algorithms
    基于信息论和遗传算法的Bayesian网络弧定向方法研究
    Algorithm of Bayesian network structural learning based on information theory
    基于信息论的Bayesian网络结构学习算法研究
    Modeling E-commerce website quality management based on Bayesian network
    基于Bayesian网络的电子商务网站质量管理模型
    Study of Two-layer Trust Model in Grid Based on Bayesian Network
    网格环境下基于Bayesian网络的信任模型研究
    One Kind of Parallel Algorithm of Ant Colony Optimization to Learn Bayesian Network
    一种并行蚁群Bayesian网络学习的算法
    Bayesian network structure learning based on model selection is an NP-hard problem.
    基于模型选择的 Bayesian网络 ( BN)结构学习是 NP难的可行解搜索过程 .
    With Bayesian Network Theory as basic model of agents, we design distributed Intelligent Decision Support Systems.
    基于Bayesian网络代理的决策支持系统具有以下特点:
    Decision Support Systems based on Bayesian Network Agent have characteristics as follows:(1) Bayesian Network Agent deduces many possibilities by using quantitative probability.
    (1)Bayesian网络代理以概率定量的形式判断多种可能原因,能全面准确地评价影响决策的所有因素。
    So it can balance all factors affecting decision accurately. (2) Bayesian Network methods can avoid subjective prejudice brought by apriority information, sightless search when we lack sample information, and the infection of interferential factors.
    (2)Bayesian网络中的理论方法既可避免只使用先验信息可能带来的主观偏见,和缺乏样本信息时的大量盲目搜索,也可避免只使用后验信息带来的干扰因素的影响。
    Secondly making full use of JESS flexible reasoning mechanism and its character that combine Expert System and JAVA language, we get the way of designing Intelligent Agent System based on Bayesian Network.
    二是充分利用JESS灵活的推理机制,以及它可把专家系统和功能强大的JAVA语言结合在一起的特点,给出了构建Bayesian网络结构的智能代理系统的方法。
    Thirdly, on the application, the decision problems of greening management are the system background Analyzing die characteristic of greening management decision system, we design the Intelligent Decision Support System based on Bayesian Network for greening management.
    三是在应用上,则以绿化管理中的决策问题作为背景,分析了绿化管理决策系统中的特点,并相应构建了绿化管理中基于Bayesian网络的多代理智能决策支持系统。
    The main content discussed in this paper is about the present status of databases,the method of data mining and it's application in the network establishing of Bayesian: to solve the specific problems of modeling of Bayesian network by means of data mining, i g how to look for the relationship between all the variables from a mass of databases and how to identify the conditional possibility
    本文介绍了数据库技术的现状、数据挖掘的方法以及它在 Bayesian网建网技术中的应用 :通过数据挖掘解决 Bayesian网络建模过程中所遇到的具体问题 ,即如何从大规模数据库中寻找各变量之间的关系以及如何确定条件概率问题。
    The main contents discussed in this paper are about the present status of databases, the method of data - mining and its application in the network establishing of Bayesian: to solve the specific problems of modeling of Bayesian network by means of data - mining, i. e. how to look for the relationship among all variables from a mass of databases and how to identify the conditional possibility.
    本文介绍了数据库技术的现状、数据挖掘的方法以及它在Bayesian网建网技术中的应用:通过数据挖掘解决Bayesian网络建模过程中所遇到的具体问题,即如何从大规模数据库中寻找各变量之间的关系以及如何确定条件概率问题。
    The main technology in this project includes: Multi-intelligence agent technology,expert system,Bayesian network,distributed technology.
    其中用到的主要技术包括 :多智能代理技术、专家系统、Bayesian网络、分布式技术
    The ALARM Network is learned, Hybrid Genetic Algorithms is usedthen Bayesian Network structure is got as the result after the Minimum Description Length is selected as the fitness function.
    文章给出了混合遗传算法的计算步骤,并通过对ALARM数据库学习得到的Bayesian网络结构。
    As for the above problems, this paper applyied the probabilistic density estimation techniques to Bayes classification with continuous attributes. And studied how to utilize directly the parametric, nonparametric and semiparametric methods for constructing Bayes classifiers containing continuous attributes. Finally, the advantages and disadvantages of the three constructing methods were analyzed, which established the theoretical basis for Bayes classifiers and Bayesian Network classifiers with continuous attributes.
    针对上述问题,论文提出将概率密度估计技术应用于连续变量Bayes分类,研究了如何直接利用参数化方法、非参数化方法以及半参数化方法构造连续变量的Bayes分类器,最后分析了3种构造分类器方法的优缺点,为构造连续变量的Bayes分类器和Bayesian网络分类器奠定了理论基础。
    Bayesian network and the probability reasoning of it was described. A kind of inquiry method based on Bayesian theory was proposed. The simplification, extended relational table,function and probability reasoning algorithm of Bayesian net were introduced.
    对Bayesian网及其概率推理进行了简述,提出并实现了一种以Bayesian理论为基础的查询方法,重点介绍Bayesian网络简化、扩展关系表、功能及概率推理算法。
    This paper proposes a two-layer trust model based on bayesian network to enhance grid security and extensibility. We use such trust model to resolve trust issues between entities in different domains.
    为了提高网格的安全性和可扩展性,论文提出了一个网格环境下基于Bayesian网络的分层信任模型,用以解决处于不同管理域的实体之间协同工作的安全问题。
 

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