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Causal Learning From Predictive Modeling for Observational Data
We consider the problem of learning structured causal models from observational data. In this work, we use causal Bayesian networks to represent causal relationships among model variables. To this effect, we explore the use of two types of independencies—context-specific independence (CSI) and mutua...
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| Publicado no: | Front Big Data |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7931928/ https://ncbi.nlm.nih.gov/pubmed/33693412 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fdata.2020.535976 |
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