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Mar, 2013
因果网络：语义和表达能力
Causal Networks: Semantics and Expressiveness
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Tom S. Verma, Judea Pearl
TL;DR
本文研究了依赖知识和图结构之间的关系，提出了基于因果输入列表的DAG的分离规则，为读取任何DAG中的独立性提供了一个可靠的方法。
Abstract
dependency knowledge
of the form "x is independent of y once z is known" invariably obeys the four
graphoid axioms
, examples include probabilistic and database dependencies. Often, such knowledge can be represent
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