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Local vs. SVM-based stacking approach for predicting proportions of complex blends in food products

dc.contributor.authorCarrasco, Beatriz
dc.contributor.authorGil, Alberto
dc.contributor.authorQuevedo Pérez, José Ramón 
dc.contributor.authorMontañés Roces, Elena 
dc.contributor.authorShen, Guanghui
dc.contributor.authorBaeten, Vincent
dc.contributor.authorFernández Pierna, Juan Antonio
dc.date.accessioned2019-04-02T12:06:10Z
dc.date.available2019-04-02T12:06:10Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/10651/50940
dc.descriptionChemometrics in Analytical Chemistry (17th, 2018, Halifax, Canadá)
dc.description.sponsorshipThis research has been supported by Spanish Ministerio de Economía y Competitividad (grant TIN2015-65069-C2-R).
dc.format.extentp.spa
dc.language.isospaspa
dc.relation.ispartofXVII Chemometrics in Analytical Chemistry, Junio, 2018. Halifax, Nova Scotia, (Canadá)spa
dc.rights© Beatriz Carrasco et al.
dc.titleLocal vs. SVM-based stacking approach for predicting proportions of complex blends in food productsspa
dc.typeconference outputspa
dc.relation.projectIDMINECO/TIN2015-65069-C2-R
dc.rights.accessRightsopen access


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