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Publikationen

Zeige Ergebnisse 21 bis 30 von 93.
  1. Kayhan Dursun; Carsten Binnig; Ugur Çetintemel; Tim Kraska

    Revisiting Reuse in Main Memory Database Systems

    In: Semih Salihoglu; Wenchao Zhou; Rada Chirkova; Jun Yang; Dan Suciu (Hrsg.). Proceedings of the 2017 ACM International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2017), May 14-19, Chicago, IL, USA, Pages 1275-1289, ACM, 2017.

  2. The An Binh Nguyen; Pratyush Agnihotri; Christian Meurisch; Manisha Luthra; Rahul Dwarakanath; Jeremias Blendin; Doreen Böhnstedt; Michael Zink; Ralf Steinmetz

    Efficient Crowd Sensing Task Distribution Through Context-Aware NDN-Based Geocast

    In: 2017 IEEE 42nd Conference on Local Computer Networks (LCN). IEEE Conference on Local Computer Networks (LCN-2017), 42nd Conference on Local Computer Networks, Pages 52-60, IEEE, 10/2017.

  3. Lukas Großberger; Matthias R. Hohmann; Jan Peters; Moritz Grosse-Wentrup

    Investigating Music imagery as a Cognitive Paradigm for low-Cost brain-Computer Interfaces

    In: Gernot R. Müller-Putz; David Steyrl; Selina C. Wriessnegger; Reinhold Scherer (Hrsg.). From Vision to Reality - Proceedings of the 7th Graz Brain-Computer Interface Conference 2017. Graz Brain-Computer Interface Conference (GBCIC-2017), September 18-22, Graz, Austria, ISBN 978-3-85125-533-1, Verlag der Technischen Universitaet Graz, 2017.

  4. Daniel Tanneberg; Jan Peters; Elmar Rueckert

    Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals

    In: Proceedings of the 1st Annual Conference on Robot Learning. Conference on Robot Learning (CoRL-2017), November 13-15, Mountain View, California, USA, Pages 167-174, Proceedings of Machine Learning Research, Vol. 78, PMLR, 2017.

  5. Guilherme Maeda; Marco Ewerton; Takayuki Osa; Baptiste Busch; Jan Peters

    Active Incremental Learning of Robot Movement Primitives

    In: Proceedings of the 1st Annual Conference on Robot Learning. Conference on Robot Learning (CoRL-2017), November 13-15, Mountain View, California, USA, Pages 37-46, Proceedings of Machine Learning Research, Vol. 78, PMLR, 2017.

  6. Hany Abdulsamad; Oleg Arenz; Jan Peters; Gerhard Neumann

    State-Regularized Policy Search for Linearized Dynamical Systems

    In: Laura Barbulescu; Jeremy Frank; Mausam; Stephen F. Smith (Hrsg.). Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling. International Conference on Automated Planning and Scheduling (ICAPS-2017), June 18-23, Pittsburgh, Pennsylvania, USA, Pages 419-424, AAAI Press, 2017.

  7. Voot Tangkaratt; Herke van Hoof; Simone Parisi; Gerhard Neumann; Jan Peters; Masashi Sugiyama

    Policy Search with High-Dimensional Context Variables

    In: Satinder Singh; Shaul Markovitch (Hrsg.). Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2017), February 4-9, San Francisco, California, USA, Pages 2632-2638, AAAI Press, 2017.

  8. Alexandros Paraschos; Rudolf Lioutikov; Jan Peters; Gerhard Neumann

    Probabilistic Prioritization of Movement Primitives

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 2, No. 4, Pages 2294-2301, IEEE, 2017.

  9. Oliver Kroemer; Jan Peters

    A Comparison of Autoregressive Hidden Markov Models for Multimodal Manipulations With Variable Masses

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 2, No. 2, Pages 1101-1108, IEEE, 2017.

  10. Takayuki Osa; Amir Masoud Ghalamzan Esfahani; Rustam Stolkin; Rudolf Lioutikov; Jan Peters; Gerhard Neumann

    Guiding Trajectory Optimization by Demonstrated Distributions

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 2, No. 2, Pages 819-826, IEEE, 2017.