Best resource recommendation for a stochastic process

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dc.contributor.authorThomas, L.
dc.contributor.authorKumar, M.M.V.
dc.contributor.authorAnnappa
dc.date.accessioned2020-03-31T08:18:34Z
dc.date.available2020-03-31T08:18:34Z
dc.date.issued2016
dc.description.abstractThe aim of this study was to develop an Artificial Neural Network's recommendation model for an online process using the complexity of load and performance of the resources. The proposed model investigate the resource performance using stochastic gradient decent method and probabilistic cost function for learning ranking function. The test result of CoSeLoG project is presented with accuracy of 72.856%. 2016 International Information Institute.en_US
dc.identifier.citationInformation (Japan), 2016, Vol.19, 10, pp.4611-4615en_US
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/10074
dc.titleBest resource recommendation for a stochastic processen_US
dc.typeArticleen_US

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