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dc.contributor.authorPolani, D.
dc.contributor.authorMartinetz, T.
dc.contributor.authorKim, J.T.
dc.date.accessioned2008-04-14T11:31:42Z
dc.date.available2008-04-14T11:31:42Z
dc.date.issued2001
dc.identifier.citationPolani , D , Martinetz , T & Kim , J T 2001 , ' An Information-Theoretic Approach for the Quantification of Relevance ' , Lecture Notes in Computer Science , vol. 2159 , pp. 704-713 .
dc.identifier.issn0302-9743
dc.identifier.otherPURE: 95444
dc.identifier.otherPURE UUID: 85a9a30f-e98a-4c59-8e02-4775581f4431
dc.identifier.otherdspace: 2299/1930
dc.identifier.otherScopus: 67650503384
dc.identifier.otherORCID: /0000-0002-3233-5847/work/86098096
dc.identifier.urihttp://hdl.handle.net/2299/1930
dc.language.isoeng
dc.relation.ispartofLecture Notes in Computer Science
dc.titleAn Information-Theoretic Approach for the Quantification of Relevanceen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.description.statusPeer reviewed
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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