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RandomBoost: Simplified Multiclass Boosting Through Randomization

contributor authorPaisitkriangkrai, Sakrapee
contributor authorChunhua Shen
contributor authorQinfeng Shi
contributor authorvan den Hengel, A.
date accessioned2020-03-12T18:30:27Z
date available2020-03-12T18:30:27Z
date issued2014
identifier issn2162-237X
identifier other6637112.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/960813?show=full
formatgeneral
languageEnglish
publisherIEEE
titleRandomBoost: Simplified Multiclass Boosting Through Randomization
typeJournal Paper
contenttypeMetadata Only
identifier padid7993518
subject keywordsconvergence
subject keywordslearning (artificial intelligence)
subject keywordsmatrix algebra
subject keywordspattern classification
subject keywordsrandom processes
subject keywordsRandomBoost
subject keywordsbinary classifiers
subject keywordsclassification accuracy
subject keywordsconvergence rate
subject keywordslearned weak classifiers
subject keywordsmachine learning
subject keywordsmulticlass boosting algorithm
subject keywordsmulticlass classification problem
subject keywordsmulticlass classifier
subject keywordsrandom projection matrices
subject keywordsrandomization
subject keywordssingle vector-valued parameter
subject keywordsvisual recognition data set
subject keywordsAlgorithm design and analysis
subject keywordsBoosting
subject keywordsMachine learning algorithms
subject keywordsOptimizati
identifier doi10.1109/TNNLS.2013.2281214
journal titleNeural Networks and Learning Systems, IEEE Transactions on
journal volume25
journal issue4
filesize2477651
citations0


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