dc.contributor.author | Raudys, Šarūnas | |
dc.date.accessioned | 2023-09-18T18:53:13Z | |
dc.date.available | 2023-09-18T18:53:13Z | |
dc.date.issued | 2002 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.other | (BIS)VGT02-000005114 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/132811 | |
dc.description.abstract | Parallels between Feature Extraction / Selection and Multiple Classification Systems methodologies are considered. Both approaches allow the designer to introduce prior information about the pattern recognition task to be solved. However, both are heavily affected by computational difficulties and by the problem of small sample size/classifier complexity. Neither approach is capable of selecting a unique data analysis algorithm. | eng |
dc.format.extent | p. 27-41 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.title | Multiple classification systems in the context of feature extraction and selection | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dcterms.sourcetitle | Multiple Classifer Systems : Third International Workshop : Proceedings "MCS 2002", Cagliari, Italy, June 24-26, 2002. Lecture Notes in Computer Science | |
dc.description.volume | Vol. 2364 | |
dc.publisher.name | Springer | |
dc.publisher.city | Berlin | |
dc.identifier.elaba | 3621300 | |