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Decision tree and instance-based learning for label ranking.

, , and . ICML, volume 382 of ACM International Conference Proceeding Series, page 161-168. ACM, (2009)

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Fuzzy methods for case-based recommendation and decision support., , and . J. Intell. Inf. Syst., 27 (2): 95-115 (2006)Regularized Learning with Flexible Constraints.. IDA, volume 2810 of Lecture Notes in Computer Science, page 13-24. Springer, (2003)Planning with Independent Task Networks., , and . KI, volume 10505 of Lecture Notes in Computer Science, page 193-206. Springer, (2017)Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization., , , , and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 1130-1138. JMLR.org, (2013)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)On Pairwise Naive Bayes Classifiers., , and . ECML, volume 4701 of Lecture Notes in Computer Science, page 371-381. Springer, (2007)Risk assessment system of natural hazards: A new approach based on fuzzy probability., and . Fuzzy Sets Syst., 158 (9): 987-999 (2007)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 Label Preferences: Ranking Error Versus Position Error., and . IDA, volume 3646 of Lecture Notes in Computer Science, page 180-191. Springer, (2005)Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization. CoRR, (2013)