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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 |
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Main Authors: | , , , , |
Formáid: | Artigo |
Teanga: | Inglês |
Foilsithe: |
2018
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Ábhair: | |
Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6448794/ https://ncbi.nlm.nih.gov/pubmed/30956519 |
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