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Publications

Displaying results 19 to 24 of 506.
  1. Alex Galakatos; Andrew Crotty; Emanuel Zgraggen; Carsten Binnig; Tim Kraska

    Revisiting Reuse for Approximate Query Processing

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 10, No. 10, Pages 1142-1153, Association for Computing Machinery (ACM), 2017.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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 …