识别关系模型中的独立性
Identifying Independence in Relational Models
摘要：
d-分离的规则提供了一个框架，用于从模型结构中导出条件独立事实。然而，该理论仅适用于简单的有向图模型。我们介绍了关系d-分离，推导关系模型中的条件独立性的理论。我们提供了一个健全的，完整的，计算效率高的方法关系d-分离，我们提出的实证结果表明，有效性。
英文摘要：
The rules of d-separation provide a framework for deriving conditional independence facts from model structure. However, this theory only applies to simple directed graphical models. We introduce relational d-separation, a theory for deriving conditional independence in relational models. We provide a sound, complete, and computationally efficient method for relational d-separation, and we present empirical results that demonstrate effectiveness.
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。
