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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2018
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| 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 |