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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Bibliographic Details
Main Authors: Leila Bagheriye, Johan Kwisthout
Format: article
Language:EN
Published: Frontiers Media S.A. 2021
Subjects:
Online Access:https://doaj.org/article/17df76067bbf494885b59d072926076c
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