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Social Network Mining with Nonparametric Relational Models

, , , and . Advances in Social Network Mining and Analysis, Springer, (2009)

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Relational Linear Programming, , and . Artificial Intelligence Journal (AIJ), (2015)Self-Taught Decision Theoretic Planning with First Order Decision Diagrams, , and . Proceedings of ICAPS-10, (2010)Boosted Statistical Relational Learners: From Benchmarks to Data-Driven Medicine, , , and . SpringerBriefs in Computer Science, (2015)Inductive Logic Programming, , , , and . chapter Revising Probabilistic Prolog Programs, (2007)Early Prediction of Coronary Artery Calcification Levels Using Statistical Relational Learning, , , , , , and . ICML Workshop on Machine Learning for Clinical Data Analysis, (2012)Lifted Probabilistic Inference with Counting Formulas, , , , and . Proc. of the 23rd AAAI Conf. on Artificial Intelligence (AAAI-08), (July 2008)Lifted Belief Propagation: Pairwise Marginals and Beyond, , and . Proc. of the 5th European WS on Probabilistic Graphical Models (PGM--10), Helsinki, Finland, (2010)Towards Discovering Structural Signatures of Protein Folds based on Logical Hidden Markov Models, , , and . 175. University of Freiburg, Germany, (June 2002)Bayesian Learning of Logical Hidden Markov Models, , , and . Proceedings of the Finnish AI conference (STeP-02), page 64--71. Oulu, Finland, (December 2002)Towards Combining Inductive Logic Programming with Bayesian Networks, and . Proceedings of the 11th International Conference on Inductive Logic Programming (ILP-01), volume 2157 of LNAI, page 118--131. Strasbourg, France, Springer, (September 2001)