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Publikationen

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Jahr: 2008
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  1. Luc De Raedt; Kristian Kersting; Angelika Kimmig; Kate Revoredo; Hannu Toivonen

    Compressing probabilistic Prolog programs

    In: Machine Learning, Vol. 70, No. 2-3, Pages 151-168, Springer, 2008.

  2. Kristian Kersting; Luc De Raedt; Bernd Gutmann; Andreas Karwath; Niels Landwehr

    Relational Sequence Learning

    In: Luc De Raedt; Paolo Frasconi; Kristian Kersting; Stephen H. Muggleton (Hrsg.). Probabilistic Inductive Logic Programming - Theory and …

  3. Bernd Gutmann; Angelika Kimmig; Kristian Kersting; Luc De Raedt

    Parameter Learning in Probabilistic Databases: A Least Squares Approach

    In: Walter Daelemans; Bart Goethals; Katharina Morik (Hrsg.). Machine Learning and Knowledge Discovery in Databases, European Conference, Proceedings. …

  4. Christian Plagemann; Kristian Kersting; Wolfram Burgard

    Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness

    In: Walter Daelemans; Bart Goethals; Katharina Morik (Hrsg.). Machine Learning and Knowledge Discovery in Databases, European Conference. European …

  5. Zhao Xu; Volker Tresp; Achim Rettinger; Kristian Kersting

    Social Network Mining with Nonparametric Relational Models

    In: C. Lee Giles; Marc Smith; John Yen; Haizheng Zhang (Hrsg.). Advances in Social Network Mining and Analysis, Second International Workshop, SNAKDD …

  6. Christian Plagemann; Sebastian Mischke; Sam Prentice; Kristian Kersting; Nicholas Roy; Wolfram Burgard

    Learning predictive terrain models for legged robot locomotion

    In: 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …

  7. Sriraam Natarajan; Hung Hai Bui; Prasad Tadepalli; Kristian Kersting; Weng-Keen Wong

    Logical Hierarchical Hidden Markov Models for Modeling User Activities

    In: Filip Zelezný; Nada Lavrac (Hrsg.). Inductive Logic Programming, 18th International Conference, Proceedings. International Conference on Inductive …

  8. Kristian Kersting; Luc De Raedt

    Basic Principles of Learning Bayesian Logic Programs

    In: Luc De Raedt; Paolo Frasconi; Kristian Kersting; Stephen H. Muggleton (Hrsg.). Probabilistic Inductive Logic Programming - Theory and …

  9. Carsten Binnig; Donald Kossmann; Eric Lo

    Multi-RQP: generating test databases for the functional testing of OLTP applications

    In: Leo Giakoumakis; Donald Kossmann (Hrsg.). Proceedings of the 1st International Workshop on Testing Database Systems. International Workshop on …

  10. Carsten Binnig; Donald Kossmann; Eric Lo; Angel Saenz-Badillos

    Automatic Result Verification for the Functional Testing of a Query Language

    In: Gustavo Alonso; José A. Blakeley; Arbee L. P. Chen (Hrsg.). Proceedings of the 24th International Conference on Data Engineering. IEEE …

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