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dc.contributor.advisorFink, Gernot A.-
dc.contributor.authorLienemann, Kai-
dc.date.accessioned2010-08-03T12:11:48Z-
dc.date.available2010-08-03T12:11:48Z-
dc.date.issued2010-08-03-
dc.identifier.urihttp://hdl.handle.net/2003/27321-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-8061-
dc.language.isoenen
dc.subjectMetabonomicsen
dc.subjectPattern recognitionen
dc.subjectEnsemble systemsen
dc.subjectSupport vector machinesen
dc.subjectNMRen
dc.subjectSafety pharmacologyen
dc.subject.ddc004-
dc.titleAdvanced ensemble methods for automatic classification of 1H-NMR spectraen
dc.typeTextde
dc.contributor.refereeWeihs, Claus-
dc.date.accepted2010-05-20-
dc.type.publicationtypedoctoralThesisde
dc.subject.rswkMetabolitde
dc.subject.rswkMustererkennungde
dc.subject.rswkKlassifikationde
dc.subject.rswkNMR-Spektroskopiede
dc.subject.rswkSupport vector machinede
dc.subject.rswkMaschinelles Lernende
dc.subject.rswkPharmazeutische Analysede
dc.identifier.urnurn:nbn:de:hbz:290-2003/27321-1-
dcterms.accessRightsopen access-
Appears in Collections:Mustererkennung in Eingebetteten Systemen

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