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Publications

Displaying results 41 to 50 of 506.
  1. Iryna Gurevych; Christian M. Meyer; Carsten Binnig; Johannes Fürnkranz; Kristian Kersting; Stefan Roth; Edwin Simpson

    Interactive Data Analytics for the Humanities

    In: Alexander F. Gelbukh (Hrsg.). Computational Linguistics and Intelligent Text Processing - 18th International Conference. International Conference …

  2. Shuo Yang; Fabian Hadiji; Kristian Kersting; Shaun J. Grannis; Sriraam Natarajan

    Modeling heart procedures from EHRs: An application of exponential families

    In: Xiaohua Hu; Chi-Ren Shyu; Yana Bromberg; Jean Gao; Yang Gong; Dmitry Korkin; Illhoi Yoo; Huiru Jane Zheng (Hrsg.). 2017 IEEE International …

  3. Alejandro Molina; Sriraam Natarajan; Kristian Kersting

    Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions

    In: Satinder Singh; Shaul Markovitch (Hrsg.). Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. AAAI Conference on …

  4. Martin Mladenov; Leonard Kleinhans; Kristian Kersting

    Lifted Inference for Convex Quadratic Programs

    In: Satinder Singh; Shaul Markovitch (Hrsg.). Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. AAAI Conference on …

  5. Martin Mladenov; Vaishak Belle; Kristian Kersting

    The Symbolic Interior Point Method

    In: Satinder Singh; Shaul Markovitch (Hrsg.). Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. AAAI Conference on …

  6. Youness Dehbi; Fabian Hadiji; Gerhard Gröger; Kristian Kersting; Lutz Plümer

    Statistical Relational Learning of Grammar Rules for 3D Building Reconstruction

    In: Transactions in GIS, Vol. 21, No. 1, Pages 134-150, Wiley, 2/2017.

  7. Kristian Kersting; Martin Mladenov; Pavel Tokmakov

    Relational linear programming

    In: Artificial Intelligence (AIJ), Vol. 244, Pages 188-216, Elsevier, 2017.

  8. 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.

  9. 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.

  10. 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 …