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A Graphical Method for Parameter Learning of Symbolic-Statistical Models.

, , and . Discovery Science, volume 1721 of Lecture Notes in Computer Science, page 264-276. Springer, (1999)

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Parameter Learning of Logic Programs for Symbolic-Statistical Modeling, and . CoRR, (2011)Statistical Abduction with Tabulation., and . Computational Logic: Logic Programming and Beyond, volume 2408 of Lecture Notes in Computer Science, page 567-587. Springer, (2002)An Exhaustive Covering Approach to Parameter-Free Mining of Non-redundant Discriminative Itemsets.. DaWaK, volume 9829 of Lecture Notes in Computer Science, page 143-159. Springer, (2016)Kidney Cancer Detection from CT Images by Transformer-Based Classifiers., , , , , , , , , and . IIAI-AAI, page 456-461. IEEE, (2023)Verbal Characterization of Probabilistic Clusters Using Minimal Discriminative Propositions., , , and . ICTAI, page 873-875. IEEE Computer Society, (2011)Variational Bayes via Propositionalization., , and . Probabilistic, Logical and Relational Learning - A Further Synthesis, volume 07161 of Dagstuhl Seminar Proceedings, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany, (2007)Variational Bayes Inference for Logic-Based Probabilistic Models on BDDs., , and . ILP, volume 7207 of Lecture Notes in Computer Science, page 189-203. Springer, (2011)New Advances in Logic-Based Probabilistic Modeling by PRISM., and . Probabilistic Inductive Logic Programming, volume 4911 of Lecture Notes in Computer Science, Springer, (2008)Evaluating Abductive Hypotheses using an EM Algorithm on BDDs., , , , and . IJCAI, page 810-815. (2009)Depth-First Traversal over a Mirrored Space for Non-redundant Discriminative Itemsets., and . DaWaK, volume 8057 of Lecture Notes in Computer Science, page 196-208. Springer, (2013)