Local and global feature selection for multilabel classification with binary relevance : An empirical comparison on flat and hierarchical problems

Melo, André ; Paulheim, Heiko

DOI: https://doi.org/10.1007/s10462-017-9556-4
URL: http://link.springer.com/article/10.1007/s10462-01...
Additional URL: http://www.heikopaulheim.com/docs/aireview2017.pdf
Document Type: Article
Year of publication: 2019
The title of a journal, publication series: Artificial Intelligence Review
Volume: 51
Issue number: 1
Page range: 33-60
Place of publication: Dordrecht [u.a.]
Publishing house: Springer Science + Business Media B.V.
ISSN: 0269-2821 , 1573-7462
Publication language: English
Institution: School of Business Informatics and Mathematics > Wirtschaftsinformatik V (Bizer)
Subject: 004 Computer science, internet

Dieser Eintrag ist Teil der Universitätsbibliographie.

Metadata export


+ Search Authors in

BASE: Melo, André ; Paulheim, Heiko

Google Scholar: Melo, André ; Paulheim, Heiko

ORCID: Melo, André ; Paulheim, Heiko ORCID: 0000-0003-4386-8195

+ Page Views

Hits per month over past year

Detailed information

You have found an error? Please let us know about your desired correction here: E-Mail

Actions (login required)

Show item Show item