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Causal Discovery from Discrete Data using Hidden Compact Representation

Causal discovery from a set of observations is one of the fundamental problems across several disciplines. For continuous variables, recently a number of causal discovery methods have demonstrated their effectiveness in distinguishing the cause from effect by exploring certain properties of the cond...

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Foilsithe in:Adv Neural Inf Process Syst
Main Authors: Cai, Ruichu, Qiao, Jie, Zhang, Kun, Zhang, Zhenjie, Hao, Zhifeng
Formáid: Artigo
Teanga:Inglês
Foilsithe: 2018
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Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6448794/
https://ncbi.nlm.nih.gov/pubmed/30956519
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