Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets

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Bibliographic Details
Main Authors: Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Dejan Gjorgjevikj
Format: Article
Language:English
Published: Polish Information Processing Society 2014-09-01
Series:Annals of computer science and information systems
Online Access:https://annals-csis.org/Volume_2/pliks/500.pdf
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author Eftim Zdravevski
Petre Lameski
Andrea Kulakov
Dejan Gjorgjevikj
author_facet Eftim Zdravevski
Petre Lameski
Andrea Kulakov
Dejan Gjorgjevikj
author_sort Eftim Zdravevski
collection DOAJ
format Article
id doaj-art-0bc301e1008142089d1eb21dc87eb6d1
institution DOAJ
issn 2300-5963
language English
publishDate 2014-09-01
publisher Polish Information Processing Society
record_format Article
series Annals of computer science and information systems
spelling doaj-art-0bc301e1008142089d1eb21dc87eb6d12025-08-20T03:17:22ZengPolish Information Processing SocietyAnnals of computer science and information systems2300-59632014-09-01238739410.15439/2014F500Feature selection and allocation to diverse subsets for multi-label learning problems with large datasetsEftim ZdravevskiPetre LameskiAndrea KulakovDejan Gjorgjevikjhttps://annals-csis.org/Volume_2/pliks/500.pdf
spellingShingle Eftim Zdravevski
Petre Lameski
Andrea Kulakov
Dejan Gjorgjevikj
Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets
Annals of computer science and information systems
title Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets
title_full Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets
title_fullStr Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets
title_full_unstemmed Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets
title_short Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets
title_sort feature selection and allocation to diverse subsets for multi label learning problems with large datasets
url https://annals-csis.org/Volume_2/pliks/500.pdf
work_keys_str_mv AT eftimzdravevski featureselectionandallocationtodiversesubsetsformultilabellearningproblemswithlargedatasets
AT petrelameski featureselectionandallocationtodiversesubsetsformultilabellearningproblemswithlargedatasets
AT andreakulakov featureselectionandallocationtodiversesubsetsformultilabellearningproblemswithlargedatasets
AT dejangjorgjevikj featureselectionandallocationtodiversesubsetsformultilabellearningproblemswithlargedatasets