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Multi-Label Learning Using Mathematical Programming

Authors
Lim, HyunkiLee, JaesungKim, Dae-Won
Issue Date
Jan-2015
Publisher
The Institute of Electronics, Information and Communication Engineers
Keywords
multi-label learning; feature selection; quadratic programming
Citation
Ieice Transactions on Information and Systems, v.E98D, no.1, pp 197 - 200
Pages
4
Journal Title
Ieice Transactions on Information and Systems
Volume
E98D
Number
1
Start Page
197
End Page
200
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/10065
DOI
10.1587/transinf.2014EDL8139
ISSN
1745-1361
Abstract
We propose a new multi-label feature selection method that does not require the multi-label problem to be transformed into a single-label problem. Using quadratic programming, the proposed multi-label feature selection algorithm provides markedly better learning performance than conventional methods.
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Kim, Dae-Won
소프트웨어대학 (소프트웨어학부)
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