Bayesian Estimation and Inference using Stochastic Hardware
In this paper, we present the implementation of two types of Bayesian inference problems to demonstrate the potential of building probabilistic algorithms in hardware using single set of building blocks with the ability to perform these computations in real time. The first implementation, referred t...
Main Authors: | Chetan Singh Thakur, Saeed eAfshar, Runchun Mark Wang, Tara Julia Hamilton, Jonathan eTapson, André evan Schaik |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2016-03-01
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Series: | Frontiers in Neuroscience |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00104/full |
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