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Year: 2016
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Displaying results 41 to 50 of 541.

  1. Kristian Kersting; Christian Bauckhage; Mirwaes Wahabzada; Anne-Katrin Mahlein; Ulrike Steiner; Erich-Christian Oerke; Christoph Römer; Lutz Plümer

    Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants

    In: Jörg Lässig; Kristian Kersting; Katharina Morik (Hrsg.). Computational Sustainability. Pages 99-120, Studies in Computational Intelligence, Vol. …

  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 …

  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 …

  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. …

  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 …

  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. 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.

  10. Friedemann Köster; Gabriel Mittag; Tim Polzehl; Sebastian Möller

    Non-intrusive Estimation of Noisiness as a Perceptual Quality Dimension of Transmitted Speech

    In: 5th ISCA/DEGA Workshop on Perceptual Quality of Systems (PQS 2016). Perceptual Quality of Systems (PQS-2016), Berlin, Germany, Pages 74-78, …

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