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Jahr: 2019
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  1. Martin Pfannemüller; Janick Edinger; Markus Weckesser; Roland Kluge; Manisha Luthra; Robin Klose; Christian Becker; Andy Schürr

    Demo: Visualizing Adaptation Decisions in Pervasive Communication Systems

    In: 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). IEEE International Conference on Pervasive Computing and Communications (PerCom-2019), 22nd International Conference on Pervasive Computing and Communications, Pages 335-337, IEEE, 3/2019.

  2. Martin Pfannemüller; Markus Weckesser; Roland Kluge; Janick Edinger; Manisha Luthra; Robin Klose; Christian Becker; Andy Schürr

    CoalaViz: Supporting Traceability of Adaptation Decisions in Pervasive Communication Systems

    In: 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). IEEE International Conference on Pervasive Computing and Communications (PerCom-2019), 22nd International Conference on Pervasive Computing and Communications, Pages 590-595, IEEE, 3/2019.

  3. Manisha Luthra; Boris Koldehofe; Ralf Steinmetz

    Transitions for Increased Flexibility in Fog Computing: A Case Study on Complex Event Processing

    In: Informatik Spektrum, Vol. 42, No. 4, Pages 244-255, Springer, 2019.

  4. Ralph Bergmann; Mirko Lenz; Stefan Ollinger; Maximilian Pfister

    Similarity Measures for Case-Based Retrieval of Natural Language Argument Graphs in Argumentation Machines

    In: Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference. International FLAIRS Conference (FLAIRS-2019), Sarasota, Florida, USA, Pages 329-334, AAAI Press, 2019.

  5. Mirko Lenz; Stefan Ollinger; Premtim Sahitaj; Ralph Bergmann

    Semantic Textual Similarity Measures for Case-Based Retrieval of Argument Graphs

    In: Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2019), Otzenhausen, Germany, Pages 219-234, Lecture Notes in Computer Science (LNCS), Vol. 11680, ISBN 978-3-030-29249-2, Springer International Publishing, Cham, 2019.

  6. Svenja Stark; Jan Peters; Elmar Rueckert

    Experience Reuse with Probabilistic Movement Primitives

    In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2019), November 3-8, Macau, China, Pages 1210-1217, IEEE, 2019.

  7. Samuele Tosatto; Carlo D'Eramo; Joni Pajarinen; Marcello Restelli; Jan Peters

    Exploration Driven by an Optimistic Bellman Equation

    In: International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2019), July 14-19, Budapest, Hungary, Pages 1-8, IEEE, 2019.

  8. Philip Becker-Ehmck; Jan Peters; Patrick van der Smagt

    Switching Linear Dynamics for Variational Bayes Filtering

    In: Kamalika Chaudhuri; Ruslan Salakhutdinov (Hrsg.). Proceedings of the 36th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2019), June 9-15, Long Beach, California, USA, Pages 553-562, Proceedings of Machine Learning Research, Vol. 97, PMLR, 2019.

  9. Riad Akrour; Joni Pajarinen; Jan Peters; Gerhard Neumann

    Projections for Approximate Policy Iteration Algorithms

    In: Kamalika Chaudhuri; Ruslan Salakhutdinov (Hrsg.). Proceedings of the 36th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2019), June 9-15, Long Beach, California, USA, Pages 181-190, Proceedings of Machine Learning Research, Vol. 97, PMLR, 2019.

  10. Michael Lutter; Christian Ritter; Jan Peters

    Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning

    In: 7th International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2019), May 6-9, New Orleans, LA, USA, OpenReview.net, 2019.

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