Hardware implementation of Bayesian network building blocks with stochastic spintronic devices

Bayesian networks are powerful statistical models to understand causal relationships in real-world probabilistic problems such as diagnosis, forecasting, computer vision, etc. For systems that involve complex causal dependencies among many variables, the complexity of the associated Bayesian network...

Descripción completa

Detalles Bibliográficos
Autores principales: Debashis, Punyashloka, Ostwal, Vaibhav, Faria, Rafatul, Datta, Supriyo, Appenzeller, Joerg, Chen, Zhihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524796/
https://www.ncbi.nlm.nih.gov/pubmed/32994448
http://dx.doi.org/10.1038/s41598-020-72842-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524796/
https://www.ncbi.nlm.nih.gov/pubmed/32994448
http://dx.doi.org/10.1038/s41598-020-72842-6

Ejemplares similares