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9E model and e-learning methodologies for the optimisation of teaching and learning

contributor authorKaur, P.
contributor authorGakhar, A.
date accessioned2020-03-12T22:41:54Z
date available2020-03-12T22:41:54Z
date issued2014
identifier other7020300.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1091587?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
title9E model and e-learning methodologies for the optimisation of teaching and learning
typeConference Paper
contenttypeMetadata Only
identifier padid8230458
subject keywordsGaussian processes
subject keywordsn data compression
subject keywordsn pattern clustering
subject keywordsn statistical testing
subject keywordsn GMM clustering
subject keywordsn Gaussian mixture models
subject keywordsn data compression
subject keywordsn model verification
subject keywordsn partitional clustering
subject keywordsn signature testing
subject keywordsn statistic test
subject keywordsn Clustering algorithms
subject keywordsn Computer numerical control
subject keywordsn Data models
subject keywordsn Gaussian mixture model
subject keywordsn Sorting
subject keywordsn Testing
identifier doi10.1109/CCECE.2014.6901122
journal titleOOC, Innovation and Technology in Education (MITE), 2014 IEEE International Conference on
filesize128206
citations0


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