Results 11 to 20 of about 14,176 (292)
Contextual Directed Acyclic Graphs
CoRR, 2023 To appear in the Proceedings of the 27th International Conference on Artificial Intelligence and ...
Ryan Thompson +2 more
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Evidence synthesis for constructing directed acyclic graphs (ESC-DAGs): a novel and systematic method for building directed acyclic graphs [PDF]
International Journal of Epidemiology, 2020 Background: Directed acyclic graphs (DAGs) are popular tools for identifying appropriate adjustment strategies for epidemiological analysis. However, a lack of direction on how to build them is problematic. As a solution, we propose using a combination
Karl D Ferguson +2 more
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Copula Directed Acyclic Graphs [PDF]
SSRN Electronic Journal, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pircalabelu, Eugen +2 more
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Statistical tests for associations between two directed acyclic graphs. [PDF]
PLoS ONE, 2010 Biological data, and particularly annotation data, are increasingly being represented in directed acyclic graphs (DAGs). However, while relevant biological information is implicit in the links between multiple domains, annotations from these different ...
Robert Hoehndorf +3 more
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Structural Learning about Directed Acyclic Graphs from Multiple Databases [PDF]
Abstract and Applied Analysis, 2012 We propose an approach for structural learning of directed acyclic graphs from multiple databases. We first learn a local structure from each database separately, and then we combine these local structures together to construct a global graph over all ...
Qiang Zhao
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Phasertng: directed acyclic graphs for crystallographic phasing [PDF]
Acta Crystallographica Section D: Structural Biology, 2021 Airlie J Mccoy +2 more
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A directed acyclic graph for interactions [PDF]
International Journal of Epidemiology, 2020 Abstract Background Directed acyclic graphs (DAGs) are of great help when researchers try to understand the nature of causal relationships and the consequences of conditioning on different variables.
Anton Nilsson +3 more
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Directed Acyclic Graphs With Tears
IEEE Transactions on Artificial Intelligence, 2023 Bayesian network is a frequently-used method for fault detection and diagnosis in industrial processes. The basis of Bayesian network is structure learning which learns a directed acyclic graph (DAG) from data. However, the search space will scale super-exponentially with the increase of process variables, which makes the data-driven structure learning
Zhichao Chen 0001, Zhiqiang Ge
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Evaluating topological ordering in directed acyclic graphs
Electronic Journal of Graph Theory and Applications, 2021 Directed acyclic graphs are often used to model situations and problems in real life. If we consider the topological ordering of the graph as a process of arranging the vertices in the best possible way considering the constraints caused by the direction
Suzana Antunović, Damir Vukičević
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Reflection on modern methods: constructing directed acyclic graphs (DAGs) with domain experts for health services research [PDF]
International Journal of Epidemiology, 2022 Daniela Rodrigues +2 more
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