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Bridging Weighted Rules and Graph Random Walks for Statistical Relational Models

The aim of statistical relational learning is to learn statistical models from relational or graph-structured data. Three main statistical relational learning paradigms include weighted rule learning, random walks on graphs, and tensor factorization. These paradigms have been mostly developed and st...

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Detalles Bibliográficos
Autores principales: Kazemi, Seyed Mehran, Poole, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806046/
https://www.ncbi.nlm.nih.gov/pubmed/33500895
http://dx.doi.org/10.3389/frobt.2018.00008

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