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Jahr: 2011
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  1. 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 - European Conference. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2011), September 5-9, Athens, Greece, Pages 475-490, Lecture Notes in Computer Science, Vol. 6913, Springer, 2011.

  2. Babak Ahmadi; Salah Zayakh; Fabian Hadiji; Kristian Kersting

    O Scientist, Where Art Thou? Affiliation Propagation for Geo-Referencing Scientific Publications

    In: Myra Spiliopoulou; Andreas Nürnberger; René Schult (Hrsg.). Report of the symposium "Lernen, Wissen, Adaptivität 2011" of the GI special interest groups KDML, IR and WM. GI-Workshop-Tage "Lernen, Wissen, Adaptivität" (LWA-2011), September 28-30, Pages 133-136, Fakultät für Informatik, Otto-von-Guericke-Universität Magdeburg, 2011.

  3. Babak Ahmadi; Martin Mladenov; Kristian Kersting; Scott Sanner

    On Lifted PageRank, Kalman Filter and Towards Lifted Linear Program Solving

    In: Myra Spiliopoulou; Andreas Nürnberger; René Schult (Hrsg.). Report of the symposium "Lernen, Wissen, Adaptivität 2011" of the GI special interest groups KDML, IR and WM. GI-Workshop-Tage "Lernen, Wissen, Adaptivität" (LWA-2011), September 28-30, Pages 35-42, Fakultät für Informatik, Otto-von-Guericke-Universität Magdeburg, 2011.

  4. 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 (IROS-2011), September 25-30, San Francisco, CA, USA, Pages 704-709, IEEE, 2011.

  5. 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.

  6. 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.

  7. 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.

  8. Yevgeny Seldin; François Laviolette; John Shawe-Taylor; Jan Peters; Peter Auer

    PAC-Bayesian Analysis of Martingales and Multiarmed Bandits

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1105.2416, Pages 0-10, arXiv, 2011.

  9. Abdeslam Boularias; Jens Kober; Jan Peters

    Relative Entropy Inverse Reinforcement Learning

    In: Geoffrey J. Gordon; David B. Dunson; Miroslav Dudík (Hrsg.). Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS-2011), April 11-13, Fort Lauderdale, USA, Pages 182-189, JMLR Proceedings, Vol. 15, JMLR.org, 2011.

  10. Oliver Kroemer; Jan Peters

    A Non-Parametric Approach to Dynamic Programming

    In: John Shawe-Taylor; Richard S. Zemel; Peter L. Bartlett; Fernando C. N. Pereira; Kilian Q. Weinberger (Hrsg.). Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Neural Information Processing Systems (NeurIPS-2011), December 12-14, Granada, Spain, Pages 1719-1727, Curran Associates, Inc. 2011.

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