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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...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7524796/ https://ncbi.nlm.nih.gov/pubmed/32994448 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-72842-6 |
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