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Jahr: 2016
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  1. Boris Belousov; Gerhard Neumann; Constantin A Rothkopf; Jan R Peters

    Catching heuristics are optimal control policies

    In: D. Lee; M. Sugiyama; U. Luxburg; I. Guyon; R. Garnett (Hrsg.). Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS-2016), December 5-10, Barcelona, Spain, Vol. 29, Curran Associates, Inc. 2016.

  2. Mayukh Das; Yuqing Wu; Tushar Khot; Kristian Kersting; Sriraam Natarajan

    Scaling Lifted Probabilistic Inference and Learning Via Graph Databases

    In: Sanjay Chawla Venkatasubramanian; Wagner Meira Jr. (Hrsg.). Proceedings of the 2016 SIAM International Conference on Data Mining. SIAM International Conference on Data Mining (SDM-2016), May 5-7, Miami, FL, USA, Pages 738-746, ISBN 978-1-61197-434-8, SIAM, 2016.

  3. Joseph G. Taylor; Viktoriia Sharmanska; Kristian Kersting; David Weir; Novi Quadrianto

    Learning Using Unselected Features (LUFe)

    In: Subbarao Kambhampati (Hrsg.). Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2016), July 9-15, New York, NY, USA, Pages 2060-2066, IJCAI/AAAI Press, 2016.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. Gernot Bahle; Adrian Calma; Jan Marco Leimeister; Paul Lukowicz; Sarah Oeste-Reiß; Tobias Reitmaier; Albrecht Schmidt; Bernhard Sick; Gerd Stumme; Katharina Anna

    Lifelong Learning and Collaboration of Smart Technical Systems in Open-Ended Environments--Opportunistic Collaborative Interactive Learning

    In: IEEE International Conference on Automation and Computing. IEEE International Conference on Automation and Computing (ICAC-2016), IEEE, 2016.

  9. Georg Heigold; Günter Neumann; Josef van Genabith

    Neural Morphological Tagging from Characters for Morphologically Rich Languages

    arxiv.org/abs/1606.06640, 2016.

  10. Nijat Mehdiyev; David Enke; Peter Fettke; Peter Loos

    Evaluating Forecasting Methods by Considering Different Accuracy Measures

    In: Procedia Computer Science. Complex Adaptive Systems (CAS-2016), Elsevier, 2016.

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