贝叶斯网络的强完备性和强可信性
Strong Completeness and Faithfulness in Bayesian Networks
Carnegie Mellon University（卡内基梅隆大学）
摘要：
给出了离散贝叶斯网络的d-分离的一个完备性结果，并证明了在强测度论意义下，对于给定的网络结构，几乎所有的离散分布都是忠实的，即分布的独立性事实都是且仅是网络结构所包含的.
英文摘要：
A completeness result for d-separation applied to discrete Bayesian networks is presented and it is shown that in a strong measure-theoretic sense almost all discrete distributions for a given network structure are faithful; i.e. the independence facts true of the distribution are all and only those entailed by the network structure.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
