Rodyti trumpą aprašą

dc.contributor.authorRaudys, Šarūnas
dc.contributor.authorRoli, Fabio
dc.date.accessioned2023-09-18T18:53:33Z
dc.date.available2023-09-18T18:53:33Z
dc.date.issued2003
dc.identifier.issn0302-9743
dc.identifier.other(BIS)VGT02-000005426
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/132968
dc.description.abstractIn the pattern recognition literature, Huang and Suen introduced the ''multinomial'' rule for fusion of multiple classifiers under the name of Behavior Knowledge Space (BKS) method. This classifier fusion method can provide very good perfomances if large and representative data sets are available. Otherwise over fitting is likely to occur, and the generalization error quickly increases. [...].eng
dc.format.extentp. 55-64
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.titleThe behavior knowledge space fusion method
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionUniversity of Cagliari Piazza d'Armi, Italy
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dcterms.sourcetitleMultiple Classifer Systems : 4th International Workshop : proceedings "MCS 2003", Guilford, UK, June 11-13. Lecture Notes in Computer Science
dc.description.volumeVol. 2709
dc.publisher.nameSpringer
dc.publisher.cityBerlin
dc.identifier.elaba3625657


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Rodyti trumpą aprašą