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Year: 2009
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Displaying results 21 to 30 of 522.

  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 …

  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 …

  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 …

  4. Carsten Binnig; Donald Kossmann; Tim Kraska; Simon Loesing

    How is the weather tomorrow?: towards a benchmark for the cloud

    In: Benoît Dageville; Carsten Binnig (Hrsg.). Proceedings of the 2nd International Workshop on Testing Database Systems. International Workshop on …

  5. Matthew Hoffman; Nando de Freitas; Arnaud Doucet; Jan Peters

    An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward

    In: David A. Van Dyk; Max Welling (Hrsg.). Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics. …

  6. Jan Peters; Jun Morimoto; Russ Tedrake; Nicholas Roy

    Robot learning [TC Spotlight]

    In: IEEE Robotics & Automation Magazine, Vol. 16, No. 3, Pages 19-20, IEEE, 2009.

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

    Adaptive importance sampling for value function approximation in off-policy reinforcement learning

    In: Neural Networks, Vol. 22, No. 10, Pages 1399-1410, Elsevier, 2009.

  8. Marc Peter Deisenroth; Carl Edward Rasmussen; Jan Peters

    Gaussian process dynamic programming

    In: Neurocomputing, Vol. 72, No. 7-9, Pages 1508-1524, Elsevier, 2009.

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

    Model Learning with Local Gaussian Process Regression

    In: Advanced Robotics, Vol. 23, No. 15, Pages 2015-2034, Taylor & Francis Online, 2009.

  10. Michael Beetz; Oliver Brock; Gordon Cheng; Jan Peters

    09341 Summary - Cognition, Control and Learning for Robot Manipulation in Human Environments

    In: Michael Beetz; Oliver Brock; Gordon Cheng; Jan Peters (Hrsg.). 09341 Abstracts Collection - Cognition, Control and Learning for Robot Manipulation …

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