Causal Datasheet for Datasets: An Evaluation Guide for Real-World Data Analysis and Data Collection Design Using Bayesian Networks

Developing data-driven solutions that address real-world problems requires understanding of these problems’ causes and how their interaction affects the outcome–often with only observational data. Causal Bayesian Networks (BN) have been proposed as a powerful method for discovering and representing...

Descripción completa

Detalles Bibliográficos
Autores principales: Butcher, Bradley, Huang, Vincent S., Robinson, Christopher, Reffin, Jeremy, Sgaier, Sema K., Charles, Grace, Quadrianto, Novi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320747/
https://www.ncbi.nlm.nih.gov/pubmed/34337389
http://dx.doi.org/10.3389/frai.2021.612551

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320747/
https://www.ncbi.nlm.nih.gov/pubmed/34337389
http://dx.doi.org/10.3389/frai.2021.612551

Ejemplares similares