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Year: 2018
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Displaying results 21 to 30 of 536.

  1. Marcel Blöcher; Tobias Ziegler; Carsten Binnig; Patrick Eugster

    Boosting scalable data analytics with modern programmable networks

    In: Wolfgang Lehner; Kenneth Salem (Hrsg.). Proceedings of the 14th International Workshop on Data Management on New Hardware. International Workshop on Data Management on New Hardware (DaMoN-2018), June 11, Houston, TX, USA, Pages 1:1-1:3, ACM, 2018.

  2. Yeounoh Chung; Michael Lind Mortensen; Carsten Binnig; Tim Kraska

    Estimating the Impact of Unknown Unknowns on Aggregate Query Results

    In: ACM Transactions on Database Systems (TODS), Vol. 43, No. 1, Pages 3:1-3:37, Association for Computing Machinery (ACM), 2018.

  3. Robin Rehrmann; Carsten Binnig; Alexander Böhm; Kihong Kim; Wolfgang Lehner; Amr Rizk

    OLTPShare: The Case for Sharing in OLTP Workloads

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 11, No. 12, Pages 1769-1780, Association for Computing Machinery (ACM), 2018.

  4. Avinesh P. V. S.; Carsten Binnig; Benjamin Hättasch; Christian M. Meyer; Orkan Özyurt

    Sherlock: A System for Interactive Summarization of Large Text Collections

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 11, No. 12, Pages 1902-1905, Association for Computing Machinery (ACM), 2018.

  5. Alex Galakatos; Michael Markovitch; Carsten Binnig; Rodrigo Fonseca; Tim Kraska

    A-Tree: A Bounded Approximate Index Structure

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1801.10207, Pages 0-10, arXiv, 2018.

  6. Simon Manschitz; Michael Gienger; Jens Kober; Jan Peters

    Mixture of Attractors: A Novel Movement Primitive Representation for Learning Motor Skills From Demonstrations

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 3, No. 2, Pages 926-933, IEEE, 2018.

  7. Adrian Sosic; Elmar Rueckert; Jan Peters; Abdelhak M. Zoubir; Heinz Koeppl

    Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling

    In: Journal of Machine Learning Research, Vol. 19, Pages 69:1-69:45, JMLR, 2018.

  8. Riad Akrour; Abbas Abdolmaleki; Hany Abdulsamad; Jan Peters; Gerhard Neumann

    Model-Free Trajectory-based Policy Optimization with Monotonic Improvement

    In: Journal of Machine Learning Research, Vol. 19, Pages 14:1-14:25, JMLR, 2018.

  9. Takayuki Osa; Joni Pajarinen; Gerhard Neumann; J. Andrew Bagnell; Pieter Abbeel; Jan Peters

    An Algorithmic Perspective on Imitation Learning

    In: Foundations and Trends in Robotics, Vol. 7, No. 1-2, Pages 1-179, Now Publishers, 3/2018.

  10. Marco Ewerton; David Rother; Jakob Weimar; Gerrit Kollegger; Josef Wiemeyer; Jan Peters; Guilherme Maeda

    Assisting Movement Training and Execution With Visual and Haptic Feedback

    In: Frontiers in Neurorobotics, Vol. 12, Pages 0-10, Frontiers, 2018.

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