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Probabilistic Circuit Architecture Using Statistical Learning

The main achievement of this project is the generalization of probabilistic circuit architecture. In other words, in mapping MRF into CMOS circuitry, one must fulfill two requirements; first bistable storage element for each logic state and second feedback network for belief propagation.

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Bibliographic Details
Main Author: Amir Faiz Bin Ab Malik, Amir Faiz
Format: Final Year Project
Language:English
Published: 2010
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://utpedia.utp.edu.my/217/1/Amir_Faiz_Bin_Ab_Malik.pdf
http://utpedia.utp.edu.my/217/
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id my-utp-utpedia.217
record_format eprints
spelling my-utp-utpedia.2172017-01-25T09:43:08Z http://utpedia.utp.edu.my/217/ Probabilistic Circuit Architecture Using Statistical Learning Amir Faiz Bin Ab Malik, Amir Faiz TK Electrical engineering. Electronics Nuclear engineering The main achievement of this project is the generalization of probabilistic circuit architecture. In other words, in mapping MRF into CMOS circuitry, one must fulfill two requirements; first bistable storage element for each logic state and second feedback network for belief propagation. 2010 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/217/1/Amir_Faiz_Bin_Ab_Malik.pdf Amir Faiz Bin Ab Malik, Amir Faiz (2010) Probabilistic Circuit Architecture Using Statistical Learning. UNSPECIFIED. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Amir Faiz Bin Ab Malik, Amir Faiz
Probabilistic Circuit Architecture Using Statistical Learning
description The main achievement of this project is the generalization of probabilistic circuit architecture. In other words, in mapping MRF into CMOS circuitry, one must fulfill two requirements; first bistable storage element for each logic state and second feedback network for belief propagation.
format Final Year Project
author Amir Faiz Bin Ab Malik, Amir Faiz
author_facet Amir Faiz Bin Ab Malik, Amir Faiz
author_sort Amir Faiz Bin Ab Malik, Amir Faiz
title Probabilistic Circuit Architecture Using Statistical Learning
title_short Probabilistic Circuit Architecture Using Statistical Learning
title_full Probabilistic Circuit Architecture Using Statistical Learning
title_fullStr Probabilistic Circuit Architecture Using Statistical Learning
title_full_unstemmed Probabilistic Circuit Architecture Using Statistical Learning
title_sort probabilistic circuit architecture using statistical learning
publishDate 2010
url http://utpedia.utp.edu.my/217/1/Amir_Faiz_Bin_Ab_Malik.pdf
http://utpedia.utp.edu.my/217/
_version_ 1739830634957766656
score 13.214268

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