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Par thème arXiv
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14 Documents classés par :
Date
Titre
Nom du premier auteur
Type de documents
Date de dépôt
1
-
2
Fast classification using sparse decision DAGs
Busa-Fekete R., Benbouzid D., Kégl B.
29th International Conference on Machine Learning (ICML 2012)
, Royaume-Uni (2012) [in2p3-00711150 - version 1]
The Green Computing Observatory: a data curation approach for green IT
Germain-Renaud C., Fürst F., Jouvin M., Kassel G., Nauroy J. et al
International Conference on Cloud and Green Computing
, Australie (2011) [inria-00632423 - version 1]
A Robust Ranking Methodology based on Diverse Calibration of AdaBoost
Busa-Fekete R., Kégl B., Elteto T., Szarvas G.
European Conference on Machine Learning (ECML 2011)
, Greece (2011) [hal-00643000 - version 1]
Algorithms for Hyper-Parameter Optimization
Bergstra J., Bardenet R., Bengio Y., Kégl B.
25th Annual Conference on Neural Information Processing Systems (NIPS 2011)
, Spain (2011) [hal-00642998 - version 1]
Ranking by calibrated AdaBoost
Busa-Fekete R., Kégl B., Elteto T., Szarvas G.
Yahoo! Learning to Rank Challenge
, Israel (2010) [hal-00643001 - version 1]
Multi-objective reinforcement learning for responsive grids
Perez J., Germain-Renaud C., Kégl B., Loomis C.
Journal of Grid Computing
8
, 3 (2010) 473-492 [hal-00491560 - version 1]
Boosting products of base classifiers
Kégl B., Busa-Fekete R.
in
Proceeding of the 26th International Conference on Machine Learning
-
26th International Conference on Machine Learning (ICML 2009)
, Canada (2009) [inria-00428905 - version 1]
A One-Class Classification Approach for Protein Sequences and Structures
Bánhalmi A., Busa-Fekete R., Kégl B.
in
Bioinformatics Research and Applications
-
5th International Symposium on Bioinformatics Research and Applications (ISBRA'09)
, United States (2009) [inria-00428924 - version 1]
Metropolis-Hastings sampling in a FilterBoost music classifier
Kégl B., Bertin-Mahieux T., Eck D.
International Workshop on Machine Learning and Music (ICML08 Workshop)
, Finland (2008) [inria-00428923 - version 1]
Learning the 2-D Topology of Images
Le Roux N., Bengio Y., Lamblin P., Joliveau M., Kégl B.
Advances in Neural Information Processing Systems
, Canada (2007) [inria-00176067 - version 1]