Brain-Inspired Hardware Solutions for Inference in Bayesian Networks

The implementation of inference (i.e., computing posterior probabilities) in Bayesian networks using a conventional computing paradigm turns out to be inefficient in terms of energy, time, and space, due to the substantial resources required by floating-point operations. A departure from conventiona...

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Detalles Bibliográficos
Autores principales: Bagheriye, Leila, Kwisthout, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8677599/
https://www.ncbi.nlm.nih.gov/pubmed/34924925
http://dx.doi.org/10.3389/fnins.2021.728086