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bayesian network
相关语句
  贝叶斯网络
    Research of Bayesian Network Model in Software Project Risk Management
    软件项目风险管理的贝叶斯网络模型研究
短句来源
    BAN,i. e. BN augmented Nave-Bayes,is an augmented Bayesian network classifier,whose accuracy is easy to improve by the Boosting technique.
    BAN(BN augmented Nave-Bayes)是一种增强的贝叶斯网络分类器,通过提升很容易提高其分类性能.
短句来源
    The Bayesian network of being used forecasting
    用于预测的贝叶斯网络
短句来源
    Information Retrieval Based on Bayesian Network Model
    基于贝叶斯网络模型的信息检索
短句来源
    A Simulation Algorithm for Bayesian Network Inference
    贝叶斯网络推理的一种仿真算法
短句来源
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  bayesian网
    RESEARCH ON LEARNING BAYESIAN NETWORK STRUCTURE BASED ON GENETIC ALGORITHMS
    基于遗传算法的Bayesian网结构学习研究
短句来源
    Research of a Bayesian Network Structure Learning Algorithm
    一种Bayesian网结构学习算法的研究
短句来源
    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。
短句来源
    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。
短句来源
  bayesian网络
    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
短句来源
    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:
短句来源
    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。
短句来源
    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。
短句来源
    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。
短句来源
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  “bayesian network”译为未确定词的双语例句
    Doing Uncertain Inference of Bayesian Network Using SQL
    SQL实现Bayesian网的不确定性推理
短句来源
    Application of Bayesian Network in .NET Hyper Text Categorization
    贝叶斯网在.NET超文本分类检索中的应用
短句来源
    Software Failure Predication Model Based on Bayesian Network
    基于Bayes网的软件失效预测模型
短句来源
    Software Failure Predication Model Based on Multiple Markov Bayesian Network
    基于多重马尔可夫Bayes网的软件失效预测模型
短句来源
    Data Mining in Equipment Development Based on Bayesian Network
    装备研制中基于Bayesian网的数据挖掘
短句来源
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  bayesian network
This paper addresses issues in constructing a Bayesian network domain model for diagnostic purposes from expert knowledge.
      
Tailored-to-Fit Bayesian Network Modeling of Expert Diagnostic Knowledge
      
The object class is generatively modeled using a simple Bayesian network with a central hidden node containing location and scale information, and nodes describing object parts.
      
Our algorithm is implemented in a commercial Bayesian Network software package, AgenaRisk, which allows model construction and testing to be carried out easily.
      
In particular, to determine Jeffrey's prior for this model family, we show how to compute the (expected) Fisher information matrix for a fixed but arbitrary Bayesian network structure.
      
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This paper discusses the constructing of Bayesian networks based on large databases. The description of non-deterministic knowledge in Bayesian networks is analyzed, and the calculation of the conditional probabilities of the nodes in the network is put forward. Since the optimal structure of Bayesian network is a typical NP-hard problem, we outline the K2 method and point out its limitation in search of the optimal solutions. Then we present the logic of using expert knowledge to guide...

This paper discusses the constructing of Bayesian networks based on large databases. The description of non-deterministic knowledge in Bayesian networks is analyzed, and the calculation of the conditional probabilities of the nodes in the network is put forward. Since the optimal structure of Bayesian network is a typical NP-hard problem, we outline the K2 method and point out its limitation in search of the optimal solutions. Then we present the logic of using expert knowledge to guide the choice and selection of the father nodes in network design, and adopting genetic algorithms to get the global optimal network. Experiments reveal the effectiveness of the new method.

主要论述了以现实存在的大量数据库信息为基础构建贝叶斯网络 (BayesianNetworks ,BN)的主要问题。讨论了不确定性知识的图形表示方法 ,以及如何利用专家知识指导属性的排序与选择。鉴于网络结构的复杂度随论域中结点个数的增加呈指数上升 ,如何寻找最佳贝叶斯网络就成为NP -Hard难题 ,应用遗传算法 (GeneticAlgorithms,GA)给出了最佳贝叶斯网络设计的一种新方法 ,并进行了实例计算。

Bayersian approach is an important method in sta tistics. A Bayesian network is a graphics model that encodes probabilistic relat ionships among variables of interest. We apply bayesian approach for data mining and set up a model based on graphics theory. Finally the method is used to mine and the result demonstrates the method is effective.

贝叶斯方法是概率统计学中一种很重要的方法 .贝叶斯网络就是根据各个变量之间概率关系用图论方法建立的模型 ,本文将概率统计的贝叶斯规则应用于知识发现 ,建立图论模型进行数据挖掘 ,文章最后应用贝叶斯网络对于实际的数据库进行知识发现 ,其结果说明了这种方法的有效性

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。

 
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