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...

Descripción completa

Detalles Bibliográficos
Autor principal: Hernández-Lemus, Enrique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516931/
https://www.ncbi.nlm.nih.gov/pubmed/33286225
http://dx.doi.org/10.3390/e22040451

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516931/
https://www.ncbi.nlm.nih.gov/pubmed/33286225
http://dx.doi.org/10.3390/e22040451

Ejemplares similares