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Full Bayesian multi-task learning for multi-output brain decoding and accommodating missing data

date accessioned2020-03-12T20:13:30Z
date available2020-03-12T20:13:30Z
date issued2014
identifier other6858533.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1006542?show=full
formatgeneral
languageEnglish
publisherIEEE
titleFull Bayesian multi-task learning for multi-output brain decoding and accommodating missing data
typeConference Paper
contenttypeMetadata Only
identifier padid8128092
subject keywordsLinux
subject keywordspublic domain software
subject keywordsreal-time systems
subject keywordsroad safety
subject keywordssecurity of data
subject keywordssystem-on-chip
subject keywordstraffic engineering computing
subject keywordsvirtualisation
subject keywordscost-efficient V2X implementations
subject keywordsopen source platform
subject keywordsreal-time enhanced L4Linux
subject keywordssafe platform
subject keywordssecure platform
subject keywordssystem-on-chip designs
subject keywordsvirtualization
subject keywordsHardware
subject keywordsInstruments
subject keywordsProtocols
subject keywordsReal-time systems
subject keywordsSafety
subject keywordsSecurity
subject keywordsVirtualization
identifier doi10.1109/VNC.2014.7013323
journal titleattern Recognition in Neuroimaging, 2014 International Workshop on
filesize337965
citations0
contributor rawauthorMarquand, A.F. , Williams, S.C.R. , Doyle, O.M. , Rosa, M.J.


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