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Implementation of Bayesian Network Based on Ultra-High-Speed Superconductor Random Number Generators

A Bayesian network (BN) is a graphical model that represents causal relationships between events. BNs have been widely used in applications such as forecasting, diagnosis, and classification. However, analyzing large-scale BNs can lead to a computational explosion due to the exponential growth in ne...

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Auteurs principaux: Rikuo Yamanaka, Nobuyuki Yoshikawa, Yuki Yamanashi
Format: Artigo
Langue:Inglês
Publié: IEEE 2024-01-01
Collection:IEEE Access
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Accès en ligne:https://ieeexplore.ieee.org/document/10643870/
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