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Year: 2009
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Displaying results 21 to 30 of 30.

  1. Novi Quadrianto; Kristian Kersting; Mark D. Reid; Tibério S. Caetano; Wray L. Buntine

    Kernel Conditional Quantile Estimation via Reduction Revisited

    In: Wei Wang; Hillol Kargupta; Sanjay Ranka; Philip S. Yu; Xindong Wu (Hrsg.). ICDM 2009, The Ninth IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2009), December 6-9, Miami, Florida, USA, Pages 938-943, IEEE Computer Society, 2009.

  2. Christian Thurau; Kristian Kersting; Christian Bauckhage

    Convex Non-negative Matrix Factorization in the Wild

    In: Wei Wang; Hillol Kargupta; Sanjay Ranka; Philip S. Yu; Xindong Wu (Hrsg.). ICDM 2009, The Ninth IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2009), December 6-9, Miami, Flordia, USA, Pages 523-532, IEEE Computer Society, 2009.

  3. Marion Neumann; Kristian Kersting; Zhao Xu; Daniel Schulz

    Stacked Gaussian Process Learning

    In: Wei Wang; Hillol Kargupta; Sanjay Ranka; Philip S. Yu; Xindong Wu (Hrsg.). ICDM 2009, The Ninth IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2009), December 6-9, Miami, Florida, USA, Pages 387-396, IEEE Computer Society, 2009.

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

    Efficient data reuse in value function approximation

    In: 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2009) Proceedings. IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning (ADPRL-2009), March 30 - April 2, Nashville, TN, USA, Pages 8-15, IEEE Symposium Series on Computational Intelligence, ISBN 978-1-4244-2761-1, IEEE, 2009.

  5. Jan Peters; Andrew Y. Ng

    Guest editorial: Special issue on robot learning, Part B

    In: Autonomous Robots, Vol. 27, No. 2, Pages 91-92, Springer, 2009.

  6. Jan Peters; Andrew Y. Ng

    Guest editorial: Special issue on robot learning, Part A

    In: Autonomous Robots, Vol. 27, No. 1, Pages 1-2, Springer, 2009.

  7. Christoph H. Lampert; Jan Peters

    Active Structured Learning for High-Speed Object Detection

    In: Joachim Denzler; Gunther Notni; Herbert Süße (Hrsg.). Pattern Recognition, 31st DAGM Symposium, Proceedings. Annual Symposium of the German Association for Pattern Recognition (DAGM-2009), September 9-11, Jena, Germany, Pages 221-231, Lecture Notes in Computer Science, Vol. 5748, Springer, 2009.

  8. Jens Kober; Jan Peters

    Learning New Basic Movements for Robotics

    In: Rüdiger Dillmann; Jürgen Beyerer; Christoph Stiller; Johann Marius Zöllner; Tobias Gindele (Hrsg.). Autonome Mobile Systeme 2009 - 21. Fachgespräch. Autonome Mobile Systeme (AMS-2009), December 3-4, Karlsruhe, Germany, Pages 105-112, Informatik Aktuell, Springer, 2009.

  9. Katharina Mülling; Jan Peters

    A Computational Model of Human Table Tennis for Robot Application

    In: Rüdiger Dillmann; Jürgen Beyerer; Christoph Stiller; Johann Marius Zöllner; Tobias Gindele (Hrsg.). Autonome Mobile Systeme 2009 - 21. Fachgespräch. Autonome Mobile Systeme (AMS-2009), December 3-4, Karlsruhe, Germany, Pages 57-64, Informatik Aktuell, Springer, 2009.

  10. Jan Peters; Jens Kober

    Using reward-weighted imitation for robot Reinforcement Learning

    In: 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2009) Proceedings. IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning (ADPRL-2009), March 30 - April 2, Nashville, TN, USA, Pages 226-232, IEEE Symposium Series on Computational Intelligence, ISBN 978-1-4244-2761-1, IEEE, 2009.

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