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bayesian network
相关语句
  贝叶斯网络
    BAYESIAN Network for Intrusion Detection
    用于入侵检测的贝叶斯网络
短句来源
    A system model based on Bayesian network
    基于贝叶斯网络的Web访问模式挖掘模型系统
短句来源
    A Data-minning Technology Based on Bayesian Network
    基于贝叶斯网络的数据挖掘技术
短句来源
    An Intelligent Search Model Based on Bayesian Network
    基于贝叶斯网络的智能检索模型
短句来源
    The Research and Design of Host-based Intrusion Detection System Based on Bayesian Network
    基于贝叶斯网络的主机入侵检测系统研究与设计
短句来源
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  bayesian网络
    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
短句来源
    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
短句来源
    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。
短句来源
    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。
短句来源
    We leverage Bayesian network and domain hierarchy to incorporate all the factors to get entities' direct trust value.
    同时考虑了影响实体之间直接信任值的不同因素,以及他们之间复杂的依赖关系,利用Bayesian网络和领域层次结构相结合的方法有效合理地将各方面因素整合起来,形成能够反映实体在不同方面的直接信任值。
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  “bayesian network”译为未确定词的双语例句
    it is shown that decomposition problem of decision tasks is equivalent to decomposition problem of Bayesian network;
    提出了基于BN(贝叶斯网)的复杂决策任务的形式化描述方法,得到决策任务的分解问题等价为贝叶斯网的分解问题;
短句来源
    Network Fault Detection Based on Bayesian Network
    基于贝叶斯网的网络故障监测方法
短句来源
    Research of Applying Bayesian Network to Recommendation System
    贝叶斯网模型在推荐系统中的应用研究
短句来源
    2. Description and decomposition of decision tasksFormal description methods of complex decision task based on BN(Bayesian network) are put forward;
    2、决策任务的表示与分解
短句来源
    Decomposition properties of decision agent tasks, and decomposition properties and decomposition methods of corresponding Bayesian network are put forward.
    提出了决策Agent的任务分解性质以及相对应的贝叶斯网的分解性质与分解方法。
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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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Traditional models of content based information filtering are clumsy to describe the complex relationships of events that affect filtering process. Furthermore, it is difficult for users to interact with the filtering system. To address the above problems, BMIF-an information filtering model founded on Bayesian network is proposed in this paper. It firstly outlines the relationship of features, interests, queries and other main elements in information filtering with a simplified Bayesian network,...

Traditional models of content based information filtering are clumsy to describe the complex relationships of events that affect filtering process. Furthermore, it is difficult for users to interact with the filtering system. To address the above problems, BMIF-an information filtering model founded on Bayesian network is proposed in this paper. It firstly outlines the relationship of features, interests, queries and other main elements in information filtering with a simplified Bayesian network, and then provides six elementary nodes to characterize the relationships in specific conditions. Some use cases of BMIF are presented as well, which includes: ① Describing traditional models with BMIF; ② Adding lexical knowledge to BMIF; ③ Mixing learning with interaction, and combining content based filtering with collaborative filtering.

传统信息过滤模型很难描述对信息过滤结果产生影响的各种因素 ,如质量、内容、用户偏好之间复杂的关系 ,也无合适的方法让用户将知识加入到信息过滤系统中 .因此 ,提出了基于贝叶斯网络的信息过滤模型 BMIF(Bayesian m odel of inform ation filtering) .BMIF是贝叶斯网络的简化 ,它描述了信息过滤的基本结构 ,提供了 6种节点用于描述影响信息过滤的事件之间的关系 .在此基础上 ,提供了 BMIF的各种使用方法 ,包括将传统方法使用BMIF描述 ,将词法知识用 BMIF表示 ,以及将自动学习与手动交互结合 ,将合作过滤与内容过滤结合等

Intrusion Detection in a large network mainly rely on the use of many distributed agents. Agents should have a kind of artificial intelligence in order to cope successfully with different intrusion cases. In this paper, we suggest that all agents are constructed with Bayesian network. Its capabilities of learning, quick identification and processing of insufficient data sets can be used in intrusion detection, so that the system constructed is highly adaptive. Finally an experimental study is presented...

Intrusion Detection in a large network mainly rely on the use of many distributed agents. Agents should have a kind of artificial intelligence in order to cope successfully with different intrusion cases. In this paper, we suggest that all agents are constructed with Bayesian network. Its capabilities of learning, quick identification and processing of insufficient data sets can be used in intrusion detection, so that the system constructed is highly adaptive. Finally an experimental study is presented to indicate the applications of Bayesian network in intrusion detection.

大型网络的入侵检测主要采用多个分布式代理(Agent).这些代理具有一定的智能以便处理各种入侵.文章提出用贝叶斯网络构造各Agent,这样的Agent具有学习、快速识别和对不完备数据集的处理能力,从而使系统具有更好的适应性.最后用一实倒来说明贝叶斯网络在入侵检测领域内的应用.

State of the art of the Intrusion Detection technology is investigated and a new IDS inference framework and prototype based on information fusion is proposed. The new framework is to solve the problems of existing IDS——high false positive rate and incapable of detection of coordinated attacks. The prototype employ Bayesian Network to do information fusion and goal-tree to analyze intensions of coordinated attacks and quantify the security risk of system. The prototype is more integral than existing IDS...

State of the art of the Intrusion Detection technology is investigated and a new IDS inference framework and prototype based on information fusion is proposed. The new framework is to solve the problems of existing IDS——high false positive rate and incapable of detection of coordinated attacks. The prototype employ Bayesian Network to do information fusion and goal-tree to analyze intensions of coordinated attacks and quantify the security risk of system. The prototype is more integral than existing IDS and easier to find coordinated attacks with lower false positive rate.

研究了入侵检测系统 (IDS)研究现状 ,针对当前 IDS系统误报率高和对时间及空间上分散的协同攻击无法有效检测的缺陷 ,引入信息融合和多传感器集成的观点 ,提出了一个多层次的 IDS推理框架和原型系统 .该原型系统采用贝叶斯网络作为多传感器融合的工具 ,用目标树的方法来分析协同攻击的攻击企图 ,并最终量化系统的受威胁程度 .相比现有的 IDS,该原型的结构更加完整 ,能够更容易发现协同攻击并有效的降低误报

 
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