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Year: 2016
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Displaying results 31 to 40 of 541.

  1. Christian Daniel; Herke van Hoof; Jan Peters; Gerhard Neumann

    Probabilistic inference for determining options in reinforcement learning

    In: Machine Learning, Vol. 104, No. 2-3, Pages 337-357, Springer, 2016.

  2. Abbas Abdolmaleki; Nuno Lau; Luís Paulo Reis; Jan Peters; Gerhard Neumann

    Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller

    In: Journal of Intelligent & Robotic Systems (JIRS), Vol. 83, No. 3-4, Pages 393-408, Springer, 2016.

  3. Roberto Calandra; André Seyfarth; Jan Peters; Marc Peter Deisenroth

    Bayesian optimization for learning gaits under uncertainty - An experimental comparison on a dynamic bipedal walker

    In: Annals of Mathematics and Artificial Intelligence (AMAI), Vol. 76, No. 1-2, Pages 5-23, Springer, 2016.

  4. Andreas Dengel

    Digital Co-Creation and Augmented Learning

    In: Proceedings KMO 2016. International Knowledge Management in Organizations Conference, located at Proceedings of the The 11th International Knowledge Management in Organizations Conference on The Changing Face of Knowledge Management Impacting Society, Hagen, Germany, ISBN 9781450340649, Association for Computing Machinery, 7/2016.

  5. Gesche Joost; Katharina Bredies; Michelle Christensen; Florian Conradi; Andreas Unteidig (Hrsg.)

    Design as research : positions, arguments, perspectives

    Birkhäuser, 2016.

  6. Elena Erdmann; Karin Boczek; Lars Koppers; Gerret von Nordheim; Christian Pölitz; Alejandro Molina; Katharina Morik; Henrik Müller; Jörg Rahnenführer; Kristian Kersting

    Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1606.05110, Pages 0-10, arXiv, 2016.

  7. Martin Mladenov; Leonard Kleinhans; Kristian Kersting

    Lifted Convex Quadratic Programming

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1606.04486, Pages 0-10, arXiv, 2016.

  8. Kristian Kersting; Christian Bauckhage; Mirwaes Wahabzada; Anne-Katrin Mahlein; Ulrike Steiner; Erich-Christian Oerke; Christoph Römer; Lutz Plümer

    Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants

    In: Jörg Lässig; Kristian Kersting; Katharina Morik (Hrsg.). Computational Sustainability. Pages 99-120, Studies in Computational Intelligence, Vol. 645, Springer, 2016.

  9. Mayukh Das; Yuqing Wu; Tushar Khot; Kristian Kersting; Sriraam Natarajan

    Scaling Lifted Probabilistic Inference and Learning Via Graph Databases

    In: Sanjay Chawla Venkatasubramanian; Wagner Meira Jr. (Hrsg.). Proceedings of the 2016 SIAM International Conference on Data Mining. SIAM International Conference on Data Mining (SDM-2016), May 5-7, Miami, FL, USA, Pages 738-746, ISBN 978-1-61197-434-8, SIAM, 2016.

  10. Joseph G. Taylor; Viktoriia Sharmanska; Kristian Kersting; David Weir; Novi Quadrianto

    Learning Using Unselected Features (LUFe)

    In: Subbarao Kambhampati (Hrsg.). Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2016), July 9-15, New York, NY, USA, Pages 2060-2066, IJCAI/AAAI Press, 2016.

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