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Learning Sparse Gaussian Bayesian Network Structure by Variable Grouping

contributor authorYang, Jie
contributor authorLeung, Henry C.M.
contributor authorYiu, S.M.
contributor authorCai, Yunpeng
contributor authorChin, Francis Y.L.
date accessioned2020-03-12T22:46:48Z
date available2020-03-12T22:46:48Z
date issued2014
identifier other7023449.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1094308?show=full
formatgeneral
languageEnglish
publisherIEEE
titleLearning Sparse Gaussian Bayesian Network Structure by Variable Grouping
typeConference Paper
contenttypeMetadata Only
identifier padid8234061
subject keywordsair pollution control
subject keywordsn cost reduction
subject keywordsn demand side management
subject keywordsn project management
subject keywordsn carbon dioxide conversion
subject keywordsn carbon dioxide pollution reduction
subject keywordsn demand side
subject keywordsn electricity cost saving
subject keywordsn environmental cost saving
subject keywordsn load shift projects
subject keywordsn power stations
subject keywordsn pumped storage schemes
subject keywordsn supply side load management
subject keywordsn Carbon dioxide
subject keywordsn Educational institutions
subject keywordsn Electricity
subject keywordsn Load management
subject keywordsn Power generation
subject keywordsn Production
subject keywordsn Reservoirs
identifier doi10.1109/ICUE.2014.6904164
journal titleata Mining (ICDM), 2014 IEEE International Conference on
filesize571823
citations0


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