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Publications

Displaying results 7 to 12 of 533.
  1. 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 …

  2. 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 …

  3. 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 …

  4. 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. …

  5. 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.

  6. 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.