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- hierarchical Bayesian network 多层贝叶斯网络
- 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。
- Based on the test for reliability appraisal, the hierarchical Bayesian method is used to decide the prior distribution of the reliability indices, so that a new Beyesian sampling scheme is got for success or failure mould product in the acceptance test. 在可靠性定型试验的基础上;利用多层贝叶斯方法确定批产品可靠性指标的先验分布;从而制定出成败型产品可靠性验收试验的一种贝叶斯方案.
- 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。
- 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；
- 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。
- A method of reliability evaluation for HVDC systems based on Bayesian network is proposed in this paper. 该文提出了将贝叶斯网络应用于高压直流系统可靠性评估的方法。
- hierarchical Bayesian estimation 多层Bayes估计
- hierarchical Bayesian evaluation 多层贝叶斯估计
- Zhang, N. and Poole, D. (1996). Exploiting causal independence in Bayesian network inference. Journal of Artificial Intelligence Research 5: 301?328. 在贝叶斯网络推论中探寻因果独立性〉《人工智能学报》5:301?328.
- synthesize hierarchical Bayesian estimation 综合多层Bayes估计
- On the basis of feeder partitioning and combining with failure-mode-and-effect analysis (FEMA) a Bayesian network was constituted. 在进行馈线分区的基础上,结合区域故障模式影响分析(Failure-Mode-and-Effect Analysis,FMEA)构成贝叶斯网络。
- 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.
- We hae reanalysed the data using a full Bayesian network approach2,5 with appropriate modelling of random effects for multigroup trials (figure). 我们用贝叶斯定理网络方法对数据重新进行了分析，这是对多组试验的随机效应更适合的模型。
- Firstly, a kind of abbreviated forecasting formula was proposed after the mathematical basis of Bayesian network had been depicted. 首先阐述了贝叶斯网络的数学描述,在此基础上给出贝叶斯网络预测公式的一种简化形式。
- 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。
- Results demonstrate that the Bayesian network classifiers based on MOR are able to reduce effectively the credit scoring risk. 结果表明,基于MOR的贝叶斯网络分类模型可以有效地减小信用评估风险。
