Brain-Inspired Hardware Solutions for Inference in Bayesian Networks
The implementation of inference (i.e., computing posterior probabilities) in Bayesian networks using a conventional computing paradigm turns out to be inefficient in terms of energy, time, and space, due to the substantial resources required by floating-point operations. A departure from conventiona...
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Main Authors: | , |
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Format: | article |
Language: | EN |
Published: |
Frontiers Media S.A.
2021
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Online Access: | https://doaj.org/article/17df76067bbf494885b59d072926076c |
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