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An analytical approach to study cascading failures in finite-size random geometric networks

contributor authorEslami, Ali
contributor authorHuang, Chuan
contributor authorZhang, Junshan
contributor authorCui, Shuguang
date accessioned2020-03-12T22:53:51Z
date available2020-03-12T22:53:51Z
date issued2014
identifier other7028580.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1098363?show=full
formatgeneral
languageEnglish
publisherIEEE
titleAn analytical approach to study cascading failures in finite-size random geometric networks
typeConference Paper
contenttypeMetadata Only
identifier padid8239550
subject keywordsApproximation methods
subject keywordsn Graphical models
subject keywordsn Kernel
subject keywordsn Linear programming
subject keywordsn Optimization
subject keywordsn Training
subject keywordsn Vectors
subject keywordsn Beta process
subject keywordsn classification
subject keywordsn instance selection
subject keywordsn multiple kernel learning
subject keywordsn variational inference
identifier doi10.1109/CVPR.2014.128
journal titleommunication, Control, and Computing (Allerton), 2014 52nd Annual Allerton Conference on
filesize773693
citations0


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