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Learning to rank for top mobile games prediction

contributor authorRamadhan, Alfian , Khodra, Masayu Leylia
date accessioned2020-03-12T20:55:55Z
date available2020-03-12T20:55:55Z
date issued2014
identifier other6914039.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1030883?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleLearning to rank for top mobile games prediction
typeConference Paper
contenttypeMetadata Only
identifier padid8156326
subject keywordsautomatic repeat request
subject keywordscarrier sense multiple access
subject keywordserror statistics
subject keywordsjamming
subject keywordsroad safety
subject keywordstelecommunication standards
subject keywordswireless LAN
subject keywordsARQ
subject keywordsCSMA
subject keywordsIEEE 802.11p standard
subject keywordsautomatic repeat request
subject keywordsbit error probability
subject keywordscarrier sense multiple access
subject keywordsinterference vulnerability
subject keywordsjamming
subject keywordspacket delays
subject keywordspacket error probability
subject keywordsradio interference
subject keywordsroad safety
subject keywordsvehicle-to-infrastructure communication
subject keywordsvehicle-to-vehicle communication
subject keywordsApproximation methods
subject keywordsAutomatic repeat request
subject keywordsDelays
subject keywordsInt
identifier doi10.1109/EMCEurope.2014.6930964
journal titlenformation and Communication Technology (ICoICT), 2014 2nd International Conference on
filesize763949
citations0


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