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- Bayesian networks inference 贝叶斯网络推理
- With flexible inference mechanisms,Bayesian networks can describe inherent relations of the system in depth. 贝叶斯网络具有灵活的推理机制,能深刻地揭示系统内在的机理。
- After the theory and inference mechanism of Bayesian networks was introduced,this paper mainly studies the application of Bayesian networks in emitter s threat level assessment. 以贝叶斯网络及其推理机制为基础,主要研究了贝叶斯网络在辐射源威胁等级评估方面的应用。
- Bayesian network is a very usefal tool in data mining,and can provide qualitative and quantitative relationship between attributes and do 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 ,并进行概率推理
- Bayesian network as, a very useful tool in data mining, can provide qualitative and quantitative relationship between attributes and probability inference. 摘要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。
- At present the Bayesian networks is applied widely in each field. 摘要目前贝叶斯网络在各种领域得到了广泛的应用。
- Decision tree, neural networks and Bayesian networks are the main tools of KDD. 决策树、神经网络、Bayesian网络等是当前知识发现的重要工具。
- A Bayesian network for overtraining was constructed under this system. 重点讨论了系统的网络数字化、网络学习、网络推理等关键问题。
- The Design and Implementation of Intelligent Program Selection Based on Bayesian Networks P. 基于贝叶斯网络模型的智能节目选择的设计与实现。
- A risk evaluation model in software project investment based on Bayesian Networks（BNs） is presented in this paper. 摘要 提出了一种基于贝叶斯网络的软件项目投资风险评价模型。
- A new method of learning Bayesian networks is presented, which can effectively combine expert knowledge and data. 摘要结合专家知识和数据进行贝叶斯网络学习。
- Finally,the process of how to use the Bayesian networks for situation assessment was showed by an example. 最后,给出一个具体的实例,演示了使用贝叶斯网络进行态势估计的过程。
- NIPS Workshop on Learning in bayesian networks and other Graphical Models - 1995. 易易工作室-各种在线工具，站长网志，以及多个应用项目。
- Finally, the converting of fault tree to Bayesian networks is illustrated according to a instance, and their reasoning functions are compared. 最后通过一个实例说明了故障树向贝叶斯网络的转化过程，并对二者的推理功能进行了比较。
- Markov network is an undirected graph, while Bayesian network is a directed acyclic graph. Markov网是一个无向图 ;而 Bayesian网是一个有向无环图 .
- Bayesian network approaches have become an important research direction in Data Mining. 贝叶斯 (Bayesian)网络近年成为数据采掘引人注目的研究方向。
- Presented an efficient hybrid heuristic SGS-EM-PACOB algorithm for learning Bayesian network with mi-ssing values. 建立了具有数据缺失训练集下学习贝叶斯网的一种混合启发方法:SGS-EM-PACOB算法。
- Bayesian network is one of the most efficient models in the uncertain knowledge and reasoning field. 贝叶斯网络是目前不确定知识和推理领域最有效的理论模型之一。
- In order to overcome these obstacles,qualitative bayesian networks and associated algorithms have been developed before. 为了在一定程度上克服这种障碍,定性贝叶斯网络及其相关算法被提出并得到发展。
- Firstly, an initial Bayesian network structure is set up by using expert knowledge. 首先利用专家知识建立初始贝叶斯网络结构和参数；
