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Tune and mix: learning to rank using ensembles of calibrated multi-class classifiers.

, , , and . Mach. Learn., 93 (2-3): 261-292 (2013)

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Measurement-based simulation model for TCP over ATM., , and . Ann. des Télécommunications, 55 (5-6): 278-287 (2000)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)Transient Analysis of a Queuing System with Matrix-Geometric Methods., and . NEW2AN, volume 4003 of Lecture Notes in Computer Science, page 21-33. Springer, (2006)On the Distribution of Round-Trip Delays in TCP/IP Networks., and . LCN, page 172-181. IEEE Computer Society, (1999)Ranking by calibrated AdaBoost., , , and . Yahoo! Learning to Rank Challenge, volume 14 of JMLR Proceedings, page 37-48. JMLR.org, (2011)Tune and mix: learning to rank using ensembles of calibrated multi-class classifiers., , , and . Mach. Learn., 93 (2-3): 261-292 (2013)Finding upper-triangular representations for phase-type distributions with 3 distinct real poles., and . Ann. Oper. Res., 160 (1): 139-172 (2008)Discovering Piecewise Linear Models of Grid Workload., , , and . CCGRID, page 474-484. IEEE Computer Society, (2010)Scalable structural break detection., , , and . Appl. Soft Comput., 12 (11): 3408-3420 (2012)Numerical Analysis of Infinite Server Queues with Correlated Arrivals, and . page 949-958. (2005)