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Balázs Kégl (Selection)

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39Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLIstván Hegedüs, Róbert Busa-Fekete, Róbert Ormándi, Márk Jelasity, Balázs Kégl: Peer-to-Peer Multi-class Boosting. Euro-Par 2012: 389-400
38Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDjalel Benbouzid, Róbert Busa-Fekete, Norman Casagrande, François-David Collin, Balázs Kégl: MULTIBOOST: A Multi-purpose Boosting Package. Journal of Machine Learning Research 13: 549-553 (2012)
36Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRóbert Busa-Fekete, Balázs Kégl, Tamás Éltetö, György Szarvas: A Robust Ranking Methodology Based on Diverse Calibration of AdaBoost. ECML/PKDD (1) 2011: 263-279
34Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRóbert Busa-Fekete, Balázs Kégl, Tamás Éltetö, György Szarvas: Ranking by calibrated AdaBoost. Journal of Machine Learning Research - Proceedings Track 14: 37-48 (2011)
33Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRóbert Busa-Fekete, Balázs Kégl: Fast boosting using adversarial bandits. ICML 2010: 143-150
31Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGuangyi Chen, Wei-Ping Zhu, Balázs Kégl, Róbert Busa-Fekete: Palmprint Classification Using Wavelets and AdaBoost. ISNN (2) 2010: 178-183
28Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLBalázs Kégl, Róbert Busa-Fekete: Boosting products of base classifiers. ICML 2009: 63
27Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAndrás Bánhalmi, Róbert Busa-Fekete, Balázs Kégl: A One-Class Classification Approach for Protein Sequences and Structures. ISBRA 2009: 310-322
26Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRóbert Busa-Fekete, Balázs Kégl: Accelerating AdaBoost using UCB. Journal of Machine Learning Research - Proceedings Track 7: 111-122 (2009)

Selection of 9 from 39 records - Balázs Kégl has 40 coauthors

Last update 2012-09-10 CET by the DBLP TeamThis material is Open Data Content released under the ODC-BY 1.0 license — See also our legal information page