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Publications

Displaying results 11 to 20 of 589.
  1. Invited Talk: Increasing Representational Power and Scaling Inference in Reinforcement Learning

    In: Scott Sanner; Marcus Hutter (Hrsg.). Recent Advances in Reinforcement Learning - 9th European Workshop. European Workshop on Reinforcement …

  2. Mirwaes Wahabzada; Kristian Kersting; Anja Pilz; Christian Bauckhage

    More influence means less work: fast latent dirichlet allocation by influence scheduling

    In: Craig Macdonald; Iadh Ounis; Ian Ruthven (Hrsg.). Proceedings of the 20th ACM Conference on Information and Knowledge Management. ACM …

  3. 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 …

  4. 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.

  5. 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.

  6. Mirwaes Wahabzada; Kristian Kersting

    Larger Residuals, Less Work: Active Document Scheduling for Latent Dirichlet Allocation

    In: Dimitrios Gunopulos; Thomas Hofmann; Donato Malerba; Michalis Vazirgiannis (Hrsg.). Machine Learning and Knowledge Discovery in Databases - …

  7. 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 …

  8. 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.

  9. 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.

  10. Yevgeny Seldin; Nicolò Cesa-Bianchi; François Laviolette; Peter Auer; John Shawe-Taylor; Jan Peters

    PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1105.4585, Pages 0-10, arXiv, 2011.