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- W4386072003 abstract "Shared information is a measure of mutual dependence among m≥2 jointly distributed discrete random variables. A new undirected probabilistic graphical model, a cliqueylon graph, is introduced, with potential applications in leader-follower swarms and neuron clusters with correlations of varying strength. Shared information is characterized explicitly for the cliqueylon, relying on structural properties of an underlying optimization. Implications for the data compression problem of omniscience are highlighted." @default.
- W4386072003 created "2023-08-23" @default.
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- W4386072003 date "2023-06-25" @default.
- W4386072003 modified "2023-09-27" @default.
- W4386072003 title "Shared Information for the Cliqueylon Graph" @default.
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- W4386072003 doi "https://doi.org/10.1109/isit54713.2023.10206503" @default.
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