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Dyad ranking using Plackett-Luce models based on joint feature representations.

, and . Mach. Learn., 107 (5): 903-941 (2018)

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Learning Label Preferences: Ranking Error Versus Position Error., and . IDA, volume 3646 of Lecture Notes in Computer Science, page 180-191. Springer, (2005)Extension and Empirical Comparison of Graph-Kernels for the Analysis of Protein Active Sites., , , , and . LWA, TUD-CS-2009-0157/TUD-KE-2009-04, page KDML:30-36. FG Telekooperation/FG Knowledge Engineering, Technische Universität Darmstadt, Germany, (2009)Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization. CoRR, (2013)Consistent Multilabel Ranking through Univariate Losses., , and . ICML, icml.cc / Omnipress, (2012)A Possibilistic Formalization of Case-Based Reasoning and Decision Making.. Fuzzy Days, volume 1625 of Lecture Notes in Computer Science, page 411-420. Springer, (1999)Planning with Independent Task Networks., , and . KI, volume 10505 of Lecture Notes in Computer Science, page 193-206. Springer, (2017)Regularized Learning with Flexible Constraints.. IDA, volume 2810 of Lecture Notes in Computer Science, page 13-24. Springer, (2003)On Pairwise Naive Bayes Classifiers., , and . ECML, volume 4701 of Lecture Notes in Computer Science, page 371-381. Springer, (2007)Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants., , and . SUM, volume 11940 of Lecture Notes in Computer Science, page 266-279. Springer, (2019)A Novel Higher-order Weisfeiler-Lehman Graph Convolution., , and . ACML, volume 129 of Proceedings of Machine Learning Research, page 49-64. PMLR, (2020)