Results 81 to 90 of about 92,871 (231)
Causal Discovery with Continuous Additive Noise Models [PDF]
, 2014 We consider the problem of learning causal directed acyclic graphs from an observational joint distribution. One can use these graphs to predict the outcome of interventional experiments, from which data are often not available.
Janzing, Dominik +3 more
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Distributed Ledger Technology for Smart Cities, the Sharing Economy, and Social Compliance
IEEE Access, 2018 This paper describes how distributed ledger technologies (DLTs) can be used to enforce social contracts and to orchestrate the behavior of agents trying to access a shared resource.
Pietro Ferraro, C. King, Robert Shorten
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On the causal interpretation of acyclic mixed graphs under multivariate normality [PDF]
, 2013 In multivariate statistics, acyclic mixed graphs with directed and bidirected edges are widely used for compact representation of dependence structures that can arise in the presence of hidden (i.e., latent or unobserved) variables.
Drton, Mathias +2 more
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Structural Intervention Distance (SID) for Evaluating Causal Graphs
, 2014 Causal inference relies on the structure of a graph, often a directed acyclic graph (DAG). Different graphs may result in different causal inference statements and different intervention distributions.
Bühlmann, Peter, Peters, Jonas
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Causal Directed Acyclic Graphs [PDF]
JAMA, 2022 Ari M, Lipsky, Sander, Greenland
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An Improved Directed Acyclic Graph Support Vector Machine
Journal of Measurement Science and Instrumentation, 2011 In this paper,we propose an improved Directed Acyclic Graph Support Vector Machine（DAGSVM）for multi-class classification.Compared with the traditional DAGSVM,the improved version has advantages that the structure of the directed acyclic graph is not ...
Miao YU, Adel RHUMA, Syed Mohsen NAQVI
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The Scientific World Journal, 2014 A complex computing problem can be solved efficiently on a system with multiple computing nodes by dividing its implementation code into several parallel processing modules or tasks that can be formulated as directed acyclic graph (DAG) problems. The DAG
Yuyi Jiang, Zhiqing Shao, Yi Guo
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Community detection in directed acyclic graphs [PDF]
The European Physical Journal B, 2015 Some temporal networks, most notably citation networks, are naturally represented as directed acyclic graphs (DAGs). To detect communities in DAGs, we propose a modularity for DAGs by defining an appropriate null model (i.e., randomized network) respecting the order of nodes.
Leo Speidel +2 more
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BMC Bioinformatics, 2022 Background In various fields, searching for the Longest Common Subsequences (LCS) of Multiple (i.e., three or more) sequences (MLCS) is a classic but difficult problem to solve.
Changyong Yu +4 more
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Persistent Homology Over Directed Acyclic Graphs
, 2019 We define persistent homology groups over any set of spaces which have inclusions defined so that the corresponding directed graph between the spaces is acyclic, as well as along any subgraph of this directed graph. This method simultaneously generalizes
A Chistov +20 more
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