Volume 93, Issue 2-3

November 2013

Special Issue: Preference Learning and Ranking; Guest Editors: Eyke Hüllermeier and Johannes Fürnkranz

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8 articles in this issue

Editorial: Preference learning and ranking
Eyke Hüllermeier
Johannes Fürnkranz
Editorial 31 August 2013 Pages: 185 - 189
Supervised clustering of label ranking data using label preference information
Mihajlo Grbovic
Nemanja Djuric
Slobodan Vucetic
OriginalPaper 07 June 2013 Pages: 191 - 225
Calibration and regret bounds for order-preserving surrogate losses in learning to rank
Clément Calauzènes
Nicolas Usunier
Patrick Gallinari
OriginalPaper 14 August 2013 Pages: 227 - 260
Tune and mix: learning to rank using ensembles of calibrated multi-class classifiers
Róbert Busa-Fekete
Balázs Kégl
György Szarvas
OriginalPaper 14 June 2013 Pages: 261 - 292
BoostingTree: parallel selection of weak learners in boosting, with application to ranking
Levente Kocsis
András György
Andrea N. Bán
OriginalPaper 07 June 2013 Pages: 293 - 320
Efficient regularized least-squares algorithms for conditional ranking on relational data
Tapio Pahikkala
Antti Airola
Willem Waegeman
OriginalPaper 07 June 2013 Pages: 321 - 356
Sequential event prediction
Benjamin Letham
Cynthia Rudin
David Madigan
OriginalPaper 08 June 2013 Pages: 357 - 380
Robust ordinal regression in preference learning and ranking
Salvatore Corrente
Salvatore Greco
Roman Słowiński
OriginalPaper Open access 27 July 2013 Pages: 381 - 422

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