BriefGPT.xyz
Sep, 2013
从关系数据中学习因果模型的声音全面算法
A Sound and Complete Algorithm for Learning Causal Models from Relational Data
HTML
PDF
Marc Maier, Katerina Marazopoulou, David Arbour, David Jensen
TL;DR
该论文提出了一种名为‘关系性因果发现(RCD)’的算法，通过关系性模型和在条件独立方面的提升推理，学习因果关系，证明了该算法的可靠性和有效性。
Abstract
The PC algorithm learns maximally oriented
causal bayesian networks
. However, there is no equivalent complete algorithm for learning the structure of
relational models
, a more expressive generalization of Bayesia
→