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Machine learning for computational science and engineering models

Name: Machine learning for computational science and engineering models
Creator: Constantine, Paul

descriptionPublicationkeyboard_double_arrow_right Other literature type 01 Jan 2017Publisher:figshare

Authors: Constantine, Paul;

doi: 10.6084/m9.figshare.5339836 , 10.6084/m9.figshare.5339836.v1

Machine learning for computational science and engineering models

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Abstract

Whitepaper submitted to the 2017 DOE ASCR Applied Math MeetingMachine learning for computational science and engineering modelsPaul Constantine, University of Colorado Boulder

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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