Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere.

Huang, Yiyi; Kleindessner, Matthäus; Munishkin, Alexey; Varshney, Debvrat; Guo, Pei; Wang, Jianwu

Huang, Yiyi; Kleindessner, Matthäus; Munishkin, Alexey; Varshney, Debvrat; Guo, Pei; Wang, Jianwu.

Afiliação

Huang Y; Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ, United States.
Kleindessner M; Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, United States.
Munishkin A; Department of Computer Science and Engineering, University of California Santa Cruz, Santa Cruz, CA, United States.
Varshney D; Department of Information Systems, University of Maryland, Baltimore, MD, United States.
Guo P; Department of Information Systems, University of Maryland, Baltimore, MD, United States.
Wang J; Department of Information Systems, University of Maryland, Baltimore, MD, United States.

Front Big Data ; 4: 642182, 2021.

Article em En | MEDLINE | ID: mdl-34505056

Palavras-chave

arctic sea ice; atmosphere-sea ice interactions; causality discovery; directed acyclic graph-graph neural networks; non-combinatorial optimization via trace exponential and augmented lagrangian for structure learning; temporal causality discovery framework; time series

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article