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Jahr: 2009
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  1. Zhao Xu; Kristian Kersting; Volker Tresp

    Multi-Relational Learning with Gaussian Processes

    In: Craig Boutilier (Hrsg.). IJCAI 2009, Proceedings of the 21st International Joint Conference on Artificial Intelligence. International Joint …

  2. 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 …

  3. 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 …

  4. 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 …

  5. Christoph Lüth

    User Interfaces for Theorem Provers: Necessary Nuisanec or Unexplored Potential?

    In: Ninth International Workshop on Automated Verification of Critical Systems (AVOCS'09). Workshop on Automated Verification of Critical Systems …

  6. Tobias Kowatsch; Wolfgang Maaß

    Towards a framework for knowledge-based pricing services improving operational agility in the retail industry

    In: Proceedings of the 4th Mediterranean Conference on Information Systems (MCIS 09). Mediterranean Conference on Information Systems (MCIS-09), 4th, …

  7. Wolfgang Maaß; W Varshney

    A framework for smart healthcare situations and smart drugs

    In: SIG-Health Pre-AMCIS Workshop at the 15th Americas Conference on Information Systems (AMCIS 2009), San Francisco, USA. Americas Conference on …

  8. 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. …

  9. 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.

  10. 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.

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