Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/30511
Title: Reduction methods for multi-label datasets based on Granular Computing
Authors: BELLO GARCIA, Marilyn 
NAPOLES RUIZ, Gonzalo 
VANHOOF, Koen 
Bello, Rafael
Issue Date: 2019
Source: Beuls, Katrien; Bogaerts, Bart; Bontempi , Gianluca; Geurts, Pierre; Harley, Nick; Lebichot, Bertrand; Lenaerts, Tom; Louppe, Gilles; Eecke, Paul (Ed.). Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019),
Series/Report: CEUR Workshop Proceedings
Series/Report no.: 2491
Document URI: http://hdl.handle.net/1942/30511
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
abstract52.pdfPublished version257.1 kBAdobe PDFView/Open
Show full item record

Page view(s)

86
checked on Sep 7, 2022

Download(s)

2
checked on Sep 7, 2022

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.