Statistical Relational Learning With Unconventional String Models

This paper shows how methods from statistical relational learning can be used to address problems in grammatical inference using model-theoretic representations of strings. These model-theoretic representations are the basis of representing formal languages logically. Conventional representations in...

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Detalles Bibliográficos
Autores principales: Vu, Mai H., Zehfroosh, Ashkan, Strother-Garcia, Kristina, Sebok, Michael, Heinz, Jeffrey, Tanner, Herbert G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Robotics and AI
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805770/
https://www.ncbi.nlm.nih.gov/pubmed/33500955
http://dx.doi.org/10.3389/frobt.2018.00076

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805770/
https://www.ncbi.nlm.nih.gov/pubmed/33500955
http://dx.doi.org/10.3389/frobt.2018.00076

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