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Enabling 'Question Answering' in the MBAT Vector Symbolic Architecture by Exploiting Orthogonal Random Matrices

Author:
Tissera, M.D. , McDonnell, M.D.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/CLUSTER.2014.6968748
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1020970
Keyword(s): Algorithm design and analysis,Data transfer,Graphics processing units,Memory management,Performance evaluation,Sorting,Supercomputers,Big Data Applications,GPGPU,Large-scale Graph Processing,MapReduce,Out-of-core Algorithms
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    Enabling 'Question Answering' in the MBAT Vector Symbolic Architecture by Exploiting Orthogonal Random Matrices

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contributor authorTissera, M.D. , McDonnell, M.D.
date accessioned2020-03-12T20:39:35Z
date available2020-03-12T20:39:35Z
date issued2014
identifier other6882019.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1020970?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleEnabling 'Question Answering' in the MBAT Vector Symbolic Architecture by Exploiting Orthogonal Random Matrices
typeConference Paper
contenttypeMetadata Only
identifier padid8145545
subject keywordsAlgorithm design and analysis
subject keywordsData transfer
subject keywordsGraphics processing units
subject keywordsMemory management
subject keywordsPerformance evaluation
subject keywordsSorting
subject keywordsSupercomputers
subject keywordsBig Data Applications
subject keywordsGPGPU
subject keywordsLarge-scale Graph Processing
subject keywordsMapReduce
subject keywordsOut-of-core Algorithms
identifier doi10.1109/CLUSTER.2014.6968748
journal titleemantic Computing (ICSC), 2014 IEEE International Conference on
filesize189970
citations0
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