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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...
Autores principales: | Debashis, Punyashloka, Ostwal, Vaibhav, Faria, Rafatul, Datta, Supriyo, Appenzeller, Joerg, Chen, Zhihong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
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 |
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