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Year: 2017
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Displaying results 11 to 20 of 507.

  1. 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.

  2. Joni Pajarinen; Ville Kyrki; Michael C. Koval; Siddhartha S. Srinivasa; Jan Peters; Gerhard Neumann

    Hybrid control trajectory optimization under uncertainty

    In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2017), September 24-28, Vancouver, BC, Canada, Pages 5694-5701, IEEE, 2017.

  3. Simone Parisi; Simon Ramstedt; Jan Peters

    Goal-driven dimensionality reduction for reinforcement learning

    In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2017), September 24-28, Vancouver, BC, Canada, Pages 4634-4639, IEEE, 2017.

  4. Christopher Morris; Kristian Kersting; Petra Mutzel

    Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs

    In: Vijay Raghavan; Srinivas Aluru; George Karypis; Lucio Miele; Xindong Wu (Hrsg.). 2017 IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2017), November 18-21, New Orleans, LA, USA, Pages 327-336, IEEE Computer Society, 2017.

  5. 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 on Intelligent Text Processing and Computational Linguistics (CICLing-2017), April 17-23, Pages 527-549, Lecture Notes in Computer Science, Vol. 10761, Springer, 2017.

  6. 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 Conference on Bioinformatics and Biomedicine. IEEE International Conference on Bioinformatics and Biomedicine (BIBM-2017), November 13-16, Kansas City, MO, USA, Pages 491-497, IEEE Computer Society, 2017.

  7. 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.

  8. Kristian Kersting; Martin Mladenov; Pavel Tokmakov

    Relational linear programming

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

  9. Nils M. Kriege; Marion Neumann; Christopher Morris; Kristian Kersting; Petra Mutzel

    A Unifying View of Explicit and Implicit Feature Maps for Structured Data: Systematic Studies of Graph Kernels

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1703.00676, Pages 0-10, arXiv, 2017.

  10. Zhao Xu; Romain Vial; Kristian Kersting

    Graph Enhanced Memory Networks for Sentiment Analysis

    In: Michelangelo Ceci; Jaakko Hollmén; Ljupco Todorovski; Celine Vens; Saso Dzeroski (Hrsg.). Machine Learning and Knowledge Discovery in Databases. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2017), September 18-22, Skopje, Macedonia, The Former Yugoslav Republic of, Pages 374-389, Lecture Notes in Computer Science, Vol. 10534, Springer, 2017.

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