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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| Main Authors: | Rikuo Yamanaka, Nobuyuki Yoshikawa, Yuki Yamanashi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10643870/ |
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