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Probabilistic DL Reasoning with Pinpointing Formulas: A Prolog-based Approach.

, , , , and . Theory Pract. Log. Program., 19 (3): 449-476 (2019)

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Belief Revision via Lamarckian Evolution., , and . IC-AI, page 1264-1270. CSREA Press, (2002)Bayesian Networks Learning for Gene Expression Datasets., , , , and . IDA, volume 3646 of Lecture Notes in Computer Science, page 109-120. Springer, (2005)ALLPAD: approximate learning of logic programs with annotated disjunctions.. Mach. Learn., 70 (2-3): 207-223 (2008)Speeding Up Inference for Probabilistic Logic Programs.. Comput. J., 57 (3): 347-363 (2014)Integrating Induction and Abduction in Logic Programming., , , and . Inf. Sci., 116 (1): 25-54 (1999)Discovering Validation Rules from Microbiological Data., , , , and . New Generation Comput., 21 (2): 123-133 (2003)Expectation Maximization in Deep Probabilistic Logic Programming., , and . AI*IA, volume 11298 of Lecture Notes in Computer Science, page 293-306. Springer, (2018)Introducing Abduction into (Extensional) Inductive Logic Programming Systems., , , and . AI*IA, volume 1321 of Lecture Notes in Computer Science, page 183-194. Springer, (1997)Inference with Logic Programs with Annotated Disjunctions under the Well Founded Semantics.. ICLP, volume 5366 of Lecture Notes in Computer Science, page 667-671. Springer, (2008)Guest-editorial: 25 years of AI*IA., , and . Intelligenza Artificiale, 7 (2): 69 (2013)