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Publications

Displaying results 51 to 60 of 541.
  1. Shuo Yang; Tushar Khot; Kristian Kersting; Sriraam Natarajan

    Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach

    In: Dale Schuurmans; Michael P. Wellman (Hrsg.). Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence. AAAI Conference on …

  2. Marion Neumann; Roman Garnett; Christian Bauckhage; Kristian Kersting

    Propagation kernels: efficient graph kernels from propagated information

    In: Machine Learning, Vol. 102, No. 2, Pages 209-245, Springer, 2016.

  3. Piotr Szymanski; Tomasz Kajdanowicz; Kristian Kersting

    How Is a Data-Driven Approach Better than Random Choice in Label Space Division for Multi-Label Classification?

    In: Entropy, Vol. 18, No. 8, Pages 0-10, MDPI, 2016.

  4. Jan Peters; Daniel D. Lee; Jens Kober; Duy Nguyen-Tuong; J. Andrew Bagnell; Stefan Schaal

    Robot Learning

    In: Bruno Siciliano; Oussama Khatib (Hrsg.). Springer Handbook of Robotics. Pages 357-398, Springer Handbooks, Springer, 2016.

  5. Christian Daniel; Gerhard Neumann; Oliver Kroemer; Jan Peters

    Hierarchical Relative Entropy Policy Search

    In: Journal of Machine Learning Research, Vol. 17, Pages 93:1-93:50, JMLR, 2016.

  6. Digital Co-Creation and Augmented Learning

    In: Proceedings KMO 2016. International Knowledge Management in Organizations Conference, located at Proceedings of the The 11th International …

  7. Gesche Joost; Katharina Bredies; Michelle Christensen; Florian Conradi; Andreas Unteidig (Hrsg.)

    Design as research : positions, arguments, perspectives

    Birkhäuser, 2016.

  8. Adaptive Position-Based Fluids: Improving Performance of Fluid Simulations for Real-Time Applications

    In: International Journal of Computer Graphics & Animation (IJCGA), Vol. 6, Pages 1-16, AIRCC, 7/2016.

  9. Brennan Nunamaker; Syed Saqib Bukhari; Damian Borth; Andreas Dengel

    A Tesseract-Based OCR Framework For Historical Documents Lacking Ground- Truth Text

    In: International Conference on Image Processing, ICIP’16, USA, 2016. IEEE International Conference on Image Processing (ICIP-2016), September 25-28, …