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Paper published in a journal (Scientific congresses and symposiums)
Exploiting tree-based variable importances to selectively identify relevant variables
Huynh-Thu, Vân Anh
;
Wehenkel, Louis
;
Geurts, Pierre
2008
•
In
Proceedings of Machine Learning Research, 4
, p. 60-73
Peer Reviewed verified by ORBi
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https://hdl.handle.net/2268/25821
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Keywords :
machine learning; bioinformatics
Disciplines :
Computer science
Author, co-author :
Huynh-Thu, Vân Anh
;
Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Wehenkel, Louis
;
Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Geurts, Pierre
;
Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
Exploiting tree-based variable importances to selectively identify relevant variables
Publication date :
2008
Event name :
Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery (FSDM 2008)
Event date :
15/09/2008
Audience :
International
Journal title :
Proceedings of Machine Learning Research
eISSN :
2640-3498
Publisher :
Microtome Publishing, Brookline, United States - Massachusetts
Volume :
4
Pages :
60-73
Peer reviewed :
Peer Reviewed verified by ORBi
Additional URL :
http://www.montefiore.ulg.ac.be/services/stochastic/pubs/2008/HWG08b
Available on ORBi :
since 16 October 2009
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Number of downloads
162 (8 by ULiège)
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