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Publikationen

Zeige Ergebnisse 11 bis 20 von 506
  1. Carsten Binnig; Donald Kossmann; Eric Lo

    Towards Automatic Test Database Generation

    In: IEEE Data Engineering Bulletin, Vol. 31, No. 1, Pages 28-35, IEEE, 2008.

  2. Generating meaningful test databases

    PhD-Thesis, University of Heidelberg, Germany, 2008.

  3. 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 …

  4. 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. …

  5. 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 …

  6. 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 …

  7. 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 …

  8. Duy Nguyen-Tuong; Matthias W. Seeger; Jan Peters

    Local Gaussian Process Regression for Real Time Online Model Learning

    In: Daphne Koller; Dale Schuurmans; Yoshua Bengio; Léon Bottou (Hrsg.). Advances in Neural Information Processing Systems 21, Proceedings of the …

  9. Silvia Chiappa; Jens Kober; Jan Peters

    Using Bayesian Dynamical Systems for Motion Template Libraries

    In: Daphne Koller; Dale Schuurmans; Yoshua Bengio; Léon Bottou (Hrsg.). Advances in Neural Information Processing Systems 21, Proceedings of the …

  10. Hirotaka Hachiya; Takayuki Akiyama; Masashi Sugiyama; Jan Peters

    Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation

    In: Dieter Fox; Carla P. Gomes (Hrsg.). Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial …