Results 11 to 20 of about 1,424,485 (296)
On Layering Directed Acyclic Graphs
We consider the problem of layering a directed acyclic graph with minimum dummy nodes. We present a new Integer Linear Programming (ILP) formulation of the problem based on a set of fundamental cycles in the underlying undirected graph and show that it ...
Healy, Patrick, Harrigan, Martin
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A directed acyclic graph for interactions. [PDF]
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.
Nilsson A +3 more
europepmc +4 more sources
Directed Acyclic Graph of model for estimating flesh-footed shearwater population on Lord Howe Island. Rectangles represent derived variables, while ovals represent parameters that are estimated from data with uncertainty. Variables in italics were taken
Tim Reid (398306) +3 more
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Contextual Directed Acyclic Graphs
To appear in the Proceedings of the 27th International Conference on Artificial Intelligence and ...
Ryan Thompson +2 more
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Directed Acyclic Graphs With Tears
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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Copula Directed Acyclic Graphs [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pircalabelu, Eugen +2 more
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Acyclic Partitioning of Large Directed Acyclic Graphs [PDF]
Finding a good partition of a computational directed acyclic graph associated with an algorithm can help find an execution pattern improving data locality, conduct an analysis of data movement, and expose parallel steps. The partition is required to be acyclic, i.e., the inter-part edges between the vertices from different parts should preserve an ...
Herrmann, Julien +4 more
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Tutorial on directed acyclic graphs
Directed acyclic graphs (DAGs) are an intuitive yet rigorous tool to communicate about causal questions in clinical and epidemiologic research and inform study design and statistical analysis. DAGs are constructed to depict prior knowledge about biological and behavioral systems related to specific causal research questions.
Jean C. Digitale +2 more
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We describe some functions in the R package ggm to derive from a given Markov model, represented by a directed acyclic graph, different types of graphs induced after marginalizing over and conditioning on some of the variables.
Giovanni M. Marchetti
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IoT-enabled directed acyclic graph in spark cluster
Real-time data streaming fetches live sensory segments of the dataset in the heterogeneous distributed computing environment. This process assembles data chunks at a rapid encapsulation rate through a streaming technique that bundles sensor segments into
Jahwan Koo +4 more
doaj +1 more source

