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Improving Expressivity of Inductive Logic Programming by Learning Different Kinds of Fuzzy Rules., and . Soft Comput., 11 (5): 459-466 (2007)Why Imprecise Regression: A Discussion., and . SMPS, volume 77 of Advances in Intelligent and Soft Computing, page 527-535. Springer, (2010)Learning First Order Fuzzy Logic Rules., , and . IFSA, volume 2715 of Lecture Notes in Computer Science, page 702-709. Springer, (2003)Possibilistic Inductive Logic Programming., and . ECSQARU, volume 3571 of Lecture Notes in Computer Science, page 675-686. Springer, (2005)Learning Disentangled Representations via Mutual Information Estimation., , and . CoRR, (2019)Possibilistic KNN Regression Using Tolerance Intervals., , and . IPMU (3), volume 299 of Communications in Computer and Information Science, page 410-419. Springer, (2012)Possibilistic classifiers for numerical data., , , and . Soft Comput., 17 (5): 733-751 (2013)Possibilistic Classifiers for Uncertain Numerical Data., , , and . ECSQARU, volume 6717 of Lecture Notes in Computer Science, page 434-446. Springer, (2011)Loi de fitts: prédiction du temps de pointage sous forme d'ensembles flous., and . IHM, page 3-10. ACM, (2007)A Scalable Learning Algorithm for Kernel Probabilistic Classifier., and . SUM, volume 8078 of Lecture Notes in Computer Science, page 297-310. Springer, (2013)