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

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?show=full
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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