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Pairwise classifier combination using belief functions.

, , and . Pattern Recognit. Lett., 28 (5): 644-653 (2007)

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Classification by pairwise coupling of imprecise probabilities., and . Pattern Recognit., (2018)Pairwise classifier combination using belief functions., , and . Pattern Recognit. Lett., 28 (5): 644-653 (2007)Inferring from an Imprecise Plackett-Luce Model: Application to Label Ranking., , , and . SUM, volume 12322 of Lecture Notes in Computer Science, page 98-112. Springer, (2020)Cautious Random Forests: a New Decision Strategy and some Experiments., , and . ISIPTA, volume 147 of Proceedings of Machine Learning Research, page 369-372. PMLR, (2021)Deep reinforcement learning with predictive auxiliary task for autonomous train collision avoidance., , , , , , , and . J. Rail Transp. Plan. Manag., (2024)Cautious weighted random forests., , and . Expert Syst. Appl., 213 (Part): 118883 (2023)A Robust Bayesian Estimation Approach for the Imprecise Plackett-Luce Model., , and . IPMU (1), volume 1601 of Communications in Computer and Information Science, page 757-769. Springer, (2022)Combining Binary Classifiers with Imprecise Probabilities., and . IUKM, volume 7027 of Lecture Notes in Computer Science, page 219-230. Springer, (2011)Contextual Discounting of Belief Functions., , and . ECSQARU, volume 3571 of Lecture Notes in Computer Science, page 552-562. Springer, (2005)Soft Learning Probabilistic Circuits., , and . CoRR, (2024)