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Lego4TOSCA: Composable Building Blocks for Cloud Applications

contributor authorHaupt, Florian
contributor authorLeymann, Frank
contributor authorNowak, Alexander
contributor authorWagner, Sebastian
date accessioned2020-03-12T22:03:58Z
date available2020-03-12T22:03:58Z
date issued2014
identifier other6973737.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1070160?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleLego4TOSCA: Composable Building Blocks for Cloud Applications
typeConference Paper
contenttypeMetadata Only
identifier padid8205586
subject keywordsforecasting theory
subject keywordsn learning (artificial intelligence)
subject keywordsn pricing
subject keywordsn HMKM
subject keywordsn apposite kernel representation
subject keywordsn currency market
subject keywordsn gold markets
subject keywordsn hierarchical multiple kernel machines
subject keywordsn multiple information sources
subject keywordsn neural networks
subject keywordsn oil market
subject keywordsn oil price forecasting
subject keywordsn regression models
subject keywordsn Biological system modeling
subject keywordsn Computational modeling
subject keywordsn Forecasting
subject keywordsn Kernel
subject keywordsn Neural networks
subject keywordsn Predictive models
subject keywordsn Support vector machines
subject keywordsn Multiple ker
identifier doi10.1109/IS3C.2014.76
journal titleloud Computing (CLOUD), 2014 IEEE 7th International Conference on
filesize1006436
citations0


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