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Jahr: 2016
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  1. Christopher Morris; Nils M. Kriege; Kristian Kersting; Petra Mutzel

    Faster Kernels for Graphs with Continuous Attributes via Hashing

    In: Francesco Bonchi; Josep Domingo-Ferrer; Ricardo Baeza-Yates; Zhi-Hua Zhou; Xindong Wu (Hrsg.). IEEE 16th International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2016), December 12-15, Barcelona, Spain, Pages 1095-1100, IEEE Computer Society, 2016.

  2. 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 Artificial Intelligence (AAAI-2016), February 12-17, Phoenix, Arizona, USA, Pages 2265-2271, AAAI Press, 2016.

  3. 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.

  4. 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.

  5. Stefan Wilk; Manisha Luthra; Wolfgang Effelsberg

    One Sensor is not Enough: Adapting and Fusing Sensors for the Quality Assessment of User Generated Video

    In: Proceedings of the 24th ACM International Conference on Multimedia. ACM International Conference on Multimedia (ACM MM-2016), Amsterdam, Netherlands, Pages 626-630, MM '16, ISBN 9781450336031, Association for Computing Machinery, 2016.

  6. 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.

  7. 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.

  8. Filipe Veiga; Jan Peters

    Can Modular Finger Control for In-Hand Object Stabilization be accomplished by Independent Tactile Feedback Control Laws?

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1612.08202, Pages 0-10, arXiv, 2016.

  9. Simone Parisi; Alexander Blank; Tobias Viernickel; Jan Peters

    Local-utopia policy selection for multi-objective reinforcement learning

    In: 2016 IEEE Symposium Series on Computational Intelligence. IEEE Symposium Series on Computational Intelligence (SSCI-2016), December 6-9, Athens, Greece, Pages 1-7, IEEE, 2016.

  10. Karl-Heinz Fiebig; Vinay Jayaram; Jan Peters; Moritz Grosse-Wentrup

    Multi-task logistic regression in brain-computer interfaces

    In: 2016 IEEE International Conference on Systems, Man, and Cybernetics. IEEE International Conference on Systems, Man, and Cybernetics (SMC-2016), October 9-12, Budapest, Hungary, Pages 2307-2312, IEEE, 2016.

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