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A Robust Ranking Methodology based on Diverse Calibration of AdaBoost

, , , and . Proceedings of the ECML/PKDD 2011, (2011)

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A Multi-Stack Based Phylogenetic Tree Building Method., , and . ISBRA, volume 4463 of Lecture Notes in Computer Science, page 49-60. Springer, (2007)Counter-Example Generation-Based One-Class Classification., , and . ECML, volume 4701 of Lecture Notes in Computer Science, page 543-550. Springer, (2007)Posterior Calibration for Multi-Class Paralinguistic Classification., and . SLT, page 119-125. IEEE, (2018)Optimal Learning of Mallows Block Model., , , and . COLT, volume 99 of Proceedings of Machine Learning Research, page 529-532. PMLR, (2019)Detecting the intensity of cognitive and physical load using AdaBoost and deep rectifier neural networks., , , and . INTERSPEECH, page 452-456. ISCA, (2014)Fast boosting using adversarial bandits., and . ICML, page 143-150. Omnipress, (2010)A Robust Ranking Methodology Based on Diverse Calibration of AdaBoost., , , and . ECML/PKDD (1), volume 6911 of Lecture Notes in Computer Science, page 263-279. Springer, (2011)Multi-objective Bandits: Optimizing the Generalized Gini Index., , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 625-634. PMLR, (2017)A Survey of Preference-Based Online Learning with Bandit Algorithms., and . ALT, volume 8776 of Lecture Notes in Computer Science, page 18-39. Springer, (2014)PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences., , and . AAAI, page 1701-1707. AAAI Press, (2014)