D-optimal plans in observational studies

dc.contributor.author	Morik, Katharina
dc.contributor.author	Pumplün, Constanze
dc.contributor.author	Rüping, Stefan
dc.contributor.author	Weihs, Claus
dc.date.accessioned	2005-11-07T11:40:01Z
dc.date.available	2005-11-07T11:40:01Z
dc.date.issued	2005-11-07T11:40:01Z
dc.description.abstract	This paper investigates the use of Design of Experiments in observational studies in order to select informative observations and features for classification. D-optimal plans are searched for in existing data and based on these plans the variables most relevant for classification are determined. The adapted models are then compared with respect to their predictive accuracy on an independent test sample. Eight different data sets are investigated by this method.	en
dc.format.extent	161501 bytes
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/2003/21668
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-14490
dc.language.iso	en
dc.subject	D-optimality	en
dc.subject	Feature Selection	en
dc.subject	Genetic Algorithm	en
dc.subject	Prototypes	en
dc.subject.ddc	004
dc.title	D-optimal plans in observational studies	en
dc.type	Text
dc.type.publicationtype	report	en
dcterms.accessRights	open access
eldorado.dnb.deposit	true

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