Enhancing the accuracy of machine learning models using the super learner technique in digital soil mapping

DSpace Repository

Show simple item record

dc.contributor.author Taghizadeh-Mehrjardi, Ruhollah
dc.contributor.author Schmidt, Karsten
dc.contributor.author Scholten, Thomas
dc.date.accessioned 2021-10-29T09:12:00Z
dc.date.available 2021-10-29T09:12:00Z
dc.date.issued 2021
dc.identifier.issn 1872-6259
dc.identifier.uri http://hdl.handle.net/10900/120254
dc.language.iso en en
dc.publisher Elsevier de_DE
dc.relation.uri http://dx.doi.org/10.1016/j.geoderma.2021.115108
dc.subject.ddc 550 de_DE
dc.title Enhancing the accuracy of machine learning models using the super learner technique in digital soil mapping de_DE
dc.type Article de_DE
utue.quellen.id 20210824232002_00011
utue.personen.roh Taghizadeh-Mehrjardi, Ruhollah
utue.personen.roh Hamzehpour, Nikou
utue.personen.roh Hassanzadeh, Maryam
utue.personen.roh Heung, Brandon
utue.personen.roh Goydaragh, Maryam Ghebleh
utue.personen.roh Schmidt, Karsten
utue.personen.roh Scholten, Thomas
dcterms.isPartOf.ZSTitelID Geoderma de_DE
dcterms.isPartOf.ZS-Issue Article 115108 de_DE
dcterms.isPartOf.ZS-Volume 399 de_DE
utue.fakultaet 07 Mathematisch-Naturwissenschaftliche Fakultät
utue.fakultaet Sonstige
utue.fakultaet Sonstige


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record