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Bayesian Logic Programs, and . Arxiv preprint cs.AI/0111058, (2001)Exploiting symmetries for scaling loopy belief propagation and relational training, , , and . Machine Learning, 92 (1): 91-132 (2013)Scaled Conjugate Gradients for Maximum Likelihood: An Empirical Comparison with the EM Algorithm, and . Proceedings of the First European Workshop on Probabilistic Graphical Models (PGM-02), page 89--98. Cuenca, Spain, (November 2002)Learning Relational Navigation Policies, , , , and . (2005)Submitted.Bayes'sche-logische Programme. Institute for Computer Science, University of Freiburg, (2000)Logical Hidden Markov Models (Extended Abstract), , and . Proceedings of the First European Workshop on Probabilistic Graphical Models (PGM-02), page 99--107. Cuenca, Spain, (November 2002)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)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)Towards Discovering Structural Signatures of Protein Folds based on Logical Hidden Markov Models, , , and . 175. University of Freiburg, Germany, (June 2002)