Article (Scientific journals)
A gradient boosting approach to the Kaggle load forecasting competition
Ben Taieb, Souhaib; Hyndman, Rob J.
2014In International Journal of Forecasting, 30 (2), p. 382-394
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Keywords :
Business and International Management
Disciplines :
Mathematics
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others
Computer science
Author, co-author :
Ben Taieb, Souhaib  ;  Université de Mons - UMONS > Faculté des Sciences > Service Big Data and Machine Learning
Hyndman, Rob J.
Language :
English
Title :
A gradient boosting approach to the Kaggle load forecasting competition
Publication date :
April 2014
Journal title :
International Journal of Forecasting
ISSN :
0169-2070
eISSN :
1872-8200
Publisher :
Elsevier BV
Volume :
30
Issue :
2
Pages :
382-394
Peer reviewed :
Peer Reviewed verified by ORBi
Research institute :
Infortech
Complexys
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