Results 11 to 20 of about 20,647 (260)
A directed acyclic graph for interactions. [PDF]
Int J Epidemiol, 2021 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
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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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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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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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Acyclic Partitioning of Large Directed Acyclic Graphs [PDF]
2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2017 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
Journal of Clinical Epidemiology, 2022 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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Cycle analysis of Directed Acyclic Graphs
Physica A: Statistical Mechanics and its Applications, 2022 In this paper, we employ the decomposition of a directed network as an undirected graph plus its associated node metadata to characterise the cyclic structure found in directed networks by finding a Minimal Cycle Basis of the undirected graph and augment its components with direction information. We show that only four classes of directed cycles exist,
Vasiliauskaite, Vaiva +2 more
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Nero: A Deterministic Leaderless Consensus Algorithm for DAG-Based Cryptocurrencies
Algorithms, 2023 This paper presents the research undertaken with the goal of designing a consensus algorithm for cryptocurrencies with less latency than the current state-of-the-art while maintaining a level of throughput and scalability sufficient for real-world ...
Rui Morais +2 more
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Reconstruction of a directed acyclic graph with intervention. [PDF]
Electron J Stat, 2020 Identification of causal relations among variables is central to many scientific investigations, as in regulatory network analysis of gene interactions and brain network analysis of effective connectivity of causal relations between regions of interest.
Peng S, Shen X, Pan W.
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Treemaps for Directed Acyclic Graphs [PDF]
, 2008 Gene Ontology information related to the biological role of genes is organized in a hierarchical manner that can be represented by a directed acyclic graph (DAG). Treemaps graphically represent hierarchical information via a two-dimensional rectangular map. They efficiently display large trees in limited screen space.
Vassilis Tsiaras +2 more
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