On a Class of Tensor Markov Fields

On a Class of Tensor Markov Fields

Here, we introduce a class of Tensor Markov Fields intended as probabilistic graphical models from random variables spanned over multiplexed contexts. These fields are an extension of Markov Random Fields for tensor-valued random variables. By extending the results of Dobruschin, Hammersley and Clif...

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Bibliographic Details
Main Author: Enrique Hernández-Lemus
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Entropy
Subjects:
Markov random fields
probabilistic graphical models
multilayer networks
Online Access:https://www.mdpi.com/1099-4300/22/4/451

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