Addressing the Practical Limitations of Noisy-OR Using Conditional Inter-Causal Anti-Correlation with Ranked Nodes | Zendy

Takao Noguchi | Zendy; Norman Fenton | Zendy; Martin Neil | Zendy

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Addressing the Practical Limitations of Noisy-OR Using Conditional Inter-Causal Anti-Correlation with Ranked Nodes

Author(s) -

Takao Noguchi,

Norman Fenton,

Martin Neil

Publication year - 2018

Publication title -

ieee transactions on knowledge and data engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.36

H-Index - 174

eISSN - 1558-2191

pISSN - 1041-4347

DOI - 10.1109/tkde.2018.2873314

Subject(s) - conditional independence , computer science , bayesian network , property (philosophy) , node (physics) , independence (probability theory) , variable (mathematics) , conditional probability , conditional probability distribution , inference , set (abstract data type) , causal inference , binary number , function (biology) , data mining , mathematics , artificial intelligence , statistics , mathematical analysis , philosophy , arithmetic , structural engineering , epistemology , evolutionary biology , engineering , biology , programming language

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