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Publikationen

 

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  1. Duy Nguyen-Tuong; Jan Peters; Matthias W. Seeger; Bernhard Schölkopf

    Learning Inverse Dynamics: a Comparison

    In: 16th European Symposium on Artificial Neural Networks, Proceedings. European Symposium on Artificial Neural Networks, Computational Intelligence …

  2. Marc Peter Deisenroth; Jan Peters; Carl E. Rasmussen

    Approximate dynamic programming with Gaussian processes

    In: American Control Conference. American Control Conference (ACC-2008), June 11-13, Seattle, WA, USA, Pages 4480-4485, IEEE, 2008.

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

    Computed torque control with nonparametric regression models

    In: American Control Conference. American Control Conference (ACC-2008), June 11-13, Seattle, WA, USA, Pages 212-217, IEEE, 2008.

  4. Hiroshi Miyake; Koichi Kise; Andreas Dengel

    A Recognition Interface for Bridging the Semantic Desktop and the Physical World

    In: KI 2008: Advances in Artificial Intelligence - 31st Annual German Conference on AI (KI 2008) - Proceedings. German Conference on Artificial …

  5. Randy Goebel; Sandra Zilles; Christoph Ringlstetter; Andreas Dengel; Gunnar Aastrand Grimnes

    What Is the Role of the Semantic Layer Cake for Guiding the Use of Knowledge Representation and Machine Learning in the Development of the Semantic Web?

    In: Symbiotic Relationships between Semantic Web and Knowledge Engineering. AAAI Spring Symposium (AAAI SSS-2008), March 26-28, Stanford, California, …

  6. 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 …

  7. 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. …

  8. 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 …

  9. 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 …

  10. 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 …