The inference model based on Bayesian Network(BN) is discussed and the algorithm based on the model is presented. 研究了基于贝叶斯网络(BN)的推理模型以及基于此模型的推理算法。
This thesis is about the study on learning Bayesian Network(BN) from extremely large or small datasets and its application. 本文对极大或极小数据集下的贝叶斯网络(BN)学习进行了研究,并提出了相关的解决方案。
Bayesian network and Boolean network are powerful tools to genetic networks research. 布尔网络模型和贝叶斯网络(BN)模型都是研究基因调控网络的有力工具。
Secondly, this thesis discusses the method of applying Bayesian Network(BN) inferring mechanism to educational hypermedia system. 研究了教育超媒体领域内运用贝叶斯网络(BN)进行推理的方法。
Bayesian network classifier is one of the main research methods in data mining and KDD domain. 贝叶斯网络(BN)分类器是数据挖掘与知识发现领域研究的主要方法之一。