Estimates of the atmospheric parameters of M-type stars: a machine-learning perspective

dc.contributor.author	Sarro, L. M.
dc.contributor.author	Ordieres Meré, Joaquín B.
dc.contributor.author	Bello García, Antonio
dc.contributor.author	González Marcos, Ana
dc.contributor.author	Solano, E.
dc.date.accessioned	2018-06-07T08:56:38Z
dc.date.available	2018-06-07T08:56:38Z
dc.date.issued	2018
dc.identifier.citation	Monthly Notices Of The Royal Astronomical Society, 476(1), p. 1120-1139 (2018); doi:10.1093/mnras/sty165
dc.identifier.issn	0035-8711
dc.identifier.issn	1365-2966
dc.identifier.uri	http://hdl.handle.net/10651/47111
dc.description.sponsorship	The authors would like to acknowledge funding by the Spanish Ministry of Economy and Innovation through the grant AyA2014-55216.
dc.format.extent	p. 1120-1139
dc.language.iso	eng
dc.relation.ispartof	Monthly Notices Of The Royal Astronomical Society, 476
dc.rights	© 2018 The Author(s)
dc.rights	This article has been accepted for publication in Monthly Notices Of The Royal Astronomical Society ©: 2018 L. M. Sarro et al. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.
dc.source	WOS:000429276700087
dc.title	Estimates of the atmospheric parameters of M-type stars: a machine-learning perspective
dc.type	journal article
dc.identifier.doi	10.1093/mnras/sty165
dc.relation.projectID	MINECO/AyA2014-55216
dc.relation.publisherversion	http://dx.doi.org/10.1093/mnras/sty165
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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