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Year: 2017
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Displaying results 21 to 30 of 67.

  1. Erfan Zamanian; Carsten Binnig; Tim Kraska; Tim Harris

    The End of a Myth: Distributed Transaction Can Scale

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 10, No. 6, Pages 685-696, Association for Computing Machinery (ACM), 2017.

  2. Abdallah Salama; Carsten Binnig; Tim Kraska; Ansgar Scherp; Tobias Ziegler

    Rethinking Distributed Query Execution on High-Speed Networks

    In: IEEE Data Engineering Bulletin, Vol. 40, No. 1, Pages 27-37, IEEE, 2017.

  3. Boris Belousov; Jan Peters

    f-Divergence constrained policy improvement

    arXiv preprint arXiv:1801.00056, 2017.

  4. Tilman Becker; Anselm Blocher; Isabel Bücker; Marvin Drewel; Andreas Faath; Tobias Harland; Mario Hermann; Gerd Herzog; Christian Hocken; Philipp Jussen; Ulrike Krebs; Maximilian Lukas; Benedikt Moser; Katrin Pitz; Daniel Porta; Jan Reschke; Sebastian Schmitz; Moritz Schröter; Moritz Weber; Lucas Wenger; Alexander Werbig; Johannes Winter; Violett Zeller; Günther Schuh; Reiner Anderl; Jürgen Gausemeier; Michael ten Hompel; Wolfgang Wahlster

    Industrie 4.0 Maturity Index [eng.]

    Managing the Digital Transformation of Companies, ISBN 978-3-8316-7314-8, Herbert Utz Verlag, München, 6/2017.

  5. Tilman Becker; Anselm Blocher; Isabel Bücker; Marvin Drewel; Andreas Faath; Tobias Harland; Mario Hermann; Gerd Herzog; Christian Hocken; Philipp Jussen; Ulrike Krebs; Maximilian Lukas; Benedikt Moser; Katrin Pitz; Daniel Porta; Jan Reschke; Sebastian Schmitz; Moritz Schröter; Moritz Weber; Lucas Wenger; Alexander Werbig; Johannes Winter; Violett Zeller; Günther Schuh; Reiner Anderl; Jürgen Gausemeier; Michael ten Hompel; Wolfgang Wahlster

    Industrie 4.0 Maturity Index [dt.]

    Die digitale Transformation von Unternehmen gestalten, ISBN 978-3-8316-4611-1, Herbert Utz Verlag, 2017.

  6. Jan Peters; Russ Tedrake; Nick Roy; Jun Morimoto

    Robot Learning

    In: Claude Sammut; Geoffrey I. Webb (Hrsg.). Encyclopedia of Machine Learning and Data Mining. Pages 1106-1109, Springer, 2017.

  7. Jan Peters; J. Andrew Bagnell

    Policy Gradient Methods

    In: Claude Sammut; Geoffrey I. Webb (Hrsg.). Encyclopedia of Machine Learning and Data Mining. Pages 982-985, Springer, 2017.

  8. Karl-Heinz Fiebig; Vinay Jayaram; Thomas Hesse; Alexander Blank; Jan Peters; Moritz Grosse-Wentrup

    Bayesian Regression for Artifact correction in Electroencephalography

    In: Gernot R. Müller-Putz; David Steyrl; Selina C. Wriessnegger; Reinhold Scherer (Hrsg.). From Vision to Reality - Proceedings of the 7th Graz …

  9. Vincent Padois; Serena Ivaldi; Jan Babic; Michael N. Mistry; Jan Peters; Francesco Nori

    Whole-body multi-contact motion in humans and humanoids: Advances of the CoDyCo European project

    In: Robotics and Autonomous Systems (RAS), Vol. 90, Pages 97-117, Elsevier, 2017.

  10. Simone Parisi; Matteo Pirotta; Jan Peters

    Manifold-based multi-objective policy search with sample reuse

    In: Neurocomputing, Vol. 263, Pages 3-14, Elsevier, 2017.

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