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Publikationen

Zeige Ergebnisse 11 bis 20 von 41
  1. Marion Neumann; Babak Ahmadi; Kristian Kersting

    Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation

    In: Wolfram Burgard; Dan Roth (Hrsg.). Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial …

  2. Hendrik Blockeel; Karsten M. Borgwardt; Luc De Raedt; Pedro M. Domingos; Kristian Kersting; Xifeng Yan

    Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning

    In: Machine Learning, Vol. 83, No. 2, Pages 133-135, Springer, 2011.

  3. Christian Thurau; Kristian Kersting; Mirwaes Wahabzada; Christian Bauckhage

    Convex non-negative matrix factorization for massive datasets

    In: Knowledge and Information Systems (KAIS), Vol. 29, No. 2, Pages 457-478, Springer, 2011.

  4. Jens Kober; Jan Peters

    Policy search for motor primitives in robotics

    In: Machine Learning, Vol. 84, No. 1-2, Pages 171-203, Springer, 2011.

  5. Justus H. Piater; Sébastien Jodogne; Renaud Detry; Dirk Kraft; Norbert Krüger; Oliver Kroemer; Jan Peters

    Learning visual representations for perception-action systems

    In: International Journal of Robotics Research (IJRR), Vol. 30, No. 3, Pages 294-307, Sage Publications, 2011.

  6. Duy Nguyen-Tuong; Jan Peters

    Model learning for robot control: a survey

    In: Cognitive Processing, Vol. 12, No. 4, Pages 319-340, Springer, 2011.

  7. Katharina Mülling; Jens Kober; Jan Peters

    A biomimetic approach to robot table tennis

    In: Adaptive Behavior, Vol. 19, No. 5, Pages 359-376, Sage Publications, 2011.

  8. Duy Nguyen-Tuong; Jan Peters

    Learning task-space tracking control with kernels

    In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …

  9. Duy Nguyen-Tuong; Jan Peters

    Incremental online sparsification for model learning in real-time robot control

    In: Neurocomputing, Vol. 74, No. 11, Pages 1859-1867, Elsevier, 2011.

  10. Jeremy L. Wyatt; Peter Dayan; Ales Leonardis; Jan Peters

    Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131)

    In: Dagstuhl Reports, Vol. 1, No. 3, Pages 67-95, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2011.