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Classifier Fusion Within the Belief Function Framework Using Dependent Combination Rules.

, , и . ISMIS, том 9384 из Lecture Notes in Computer Science, стр. 133-138. Springer, (2015)

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Classifier Fusion Within the Belief Function Framework Using Dependent Combination Rules., , и . ISMIS, том 9384 из Lecture Notes in Computer Science, стр. 133-138. Springer, (2015)Proposition and learning of some belief function contextual correction mechanisms., , , и . Int. J. Approx. Reason., (2016)A high-level application using belief functions for exchanging and managing uncertain events on the road in vehicular ad hoc networks., , , и . Ann. des Télécommunications, 69 (3-4): 185-199 (2014)Mining Frequent Itemsets in Evidential Database., , и . KSE (2), том 245 из Advances in Intelligent Systems and Computing, стр. 377-388. Springer, (2013)The Vehicle Routing Problem with Time Windows and Evidential Service and Travel Times: A Recourse Model., , , и . ECSQARU, том 12897 из Lecture Notes in Computer Science, стр. 381-395. Springer, (2021)Response to Äddendum for the TBM global distance measure for the association of uncertain combat ID declarations" by B. Ristic, M.C. Florea and E. Boissé., , и . Inf. Fusion, (2014)On Modelling and Solving the Shortest Path Problem with Evidential Weights., , , и . BELIEF, том 13506 из Lecture Notes in Computer Science, стр. 139-149. Springer, (2022)Evidential Database: A New Generalization of Databases?, , и . Belief Functions, том 8764 из Lecture Notes in Computer Science, стр. 105-114. Springer, (2014)Belief assignment on compound hypotheses within the framework of the Transferable Belief Model., , , и . FUSION, стр. 498-505. IEEE, (2009)CEC-Model: A New Competence Model for CBR Systems Based on the Belief Function Theory., , и . ICCBR, том 11156 из Lecture Notes in Computer Science, стр. 28-44. Springer, (2018)