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Partial Data Querying Through Racing Algorithms.

, , and . IUKM, volume 9978 of Lecture Notes in Computer Science, page 163-174. (2016)

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Learning Gradient Boosted Multi-label Classification Rules., , , , and . ECML/PKDD (3), volume 12459 of Lecture Notes in Computer Science, page 124-140. Springer, (2020)Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence., and . J. Artif. Intell. Res., (2021)Querying Partially Labelled Data to Improve a K-nn Classifier., , and . AAAI, page 2401-2407. AAAI Press, (2017)Skeptical inferences in multi-label ranking with sets of probabilities., and . CoRR, (2022)Racing trees to query partial data., , , and . Soft Comput., 25 (14): 9285-9305 (2021)Partial data querying through racing algorithms., , and . Int. J. Approx. Reason., (2018)Epistemic Uncertainty Sampling., , and . DS, volume 11828 of Lecture Notes in Computer Science, page 72-86. Springer, (2019)On Aggregation in Ensembles of Multilabel Classifiers., , , , and . DS, volume 12323 of Lecture Notes in Computer Science, page 533-547. Springer, (2020)Reliable Multilabel Classification: Prediction with Partial Abstention *, and . (2019)How to measure uncertainty in uncertainty sampling for active learning., , and . Mach. Learn., 111 (1): 89-122 (2022)