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Publications

Displaying results 2011 to 2020 of 14738.

  1. Kristian Kersting; Christian Plagemann; Patrick Pfaff; Wolfram Burgard

    Most likely heteroscedastic Gaussian process regression

    In: Zoubin Ghahramani (Hrsg.). Machine Learning, Proceedings of the Twenty-Fourth International Conference. International Conference on Machine Learning (ICML-2007), Pages 393-400, ACM International Conference Proceeding Series, Vol. 227, ACM, 2007.

  2. Kristian Kersting; Christian Plagemann; Alexandru Cocora; Wolfram Burgard; Luc De Raedt

    Learning to transfer optimal navigation policies

    In: Advanced Robotics, Vol. 21, No. 13, Pages 1565-1582, Taylor & Francis Online, 2007.

  3. Kristian Kersting; Luc De Raedt; Bernd Gutmann; Andreas Karwath; Niels Landwehr

    Relational Sequence Learning

    In: Luc De Raedt; Paolo Frasconi; Kristian Kersting; Stephen H. Muggleton (Hrsg.). Probabilistic Inductive Logic Programming - Theory and Applications. Pages 28-55, Lecture Notes in Computer Science, Vol. 4911, Springer, 2008.

  4. Bernd Gutmann; Angelika Kimmig; Kristian Kersting; Luc De Raedt

    Parameter Learning in Probabilistic Databases: A Least Squares Approach

    In: Walter Daelemans; Bart Goethals; Katharina Morik (Hrsg.). Machine Learning and Knowledge Discovery in Databases, European Conference, Proceedings. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2008), September 15-19, Antwerp, Belgium, Pages 473-488, Lecture Notes in Computer Science, Vol. 5211, Springer, 2008.

  5. Christian Plagemann; Kristian Kersting; Wolfram Burgard

    Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness

    In: Walter Daelemans; Bart Goethals; Katharina Morik (Hrsg.). Machine Learning and Knowledge Discovery in Databases, European Conference. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2008), September 15-19, Antwerp, Belgium, Pages 204-219, Lecture Notes in Computer Science, Vol. 5212, Springer, 2008.

  6. Mansi Sharma; Antonio Krüger

    Unraveling the Connection: How Cognitive Workload Shapes Intent Recognition in Robot-Assisted Surgery

    In: - (Hrsg.). 2023 IEEE Conference on Systems, Man, and Cybernetics. IEEE International Conference on Systems, Man, and Cybernetics (SMC), October 1-4, Oahu, USA, IEEE, 2023.

  7. Mansi Sharma; Shuang Chen; Philipp Müller; Maurice Rekrut; Antonio Krüger

    Implicit Search Intent Recognition using EEG and Eye Tracking: Novel Dataset and Cross-User Prediction

    In: Proceedings of the 25th International Conference on Multimodal Interaction. ACM International Conference on Multimodal Interaction (ICMI), Pages 345-354, IEEE, 2023.

  8. Isabelle Kien; Manuel Meder; Proneet Kumar Sharma

    Context-attentive robot reconfiguration for collaborative human-machine space missions

    In: 13th EASN International Conference. EASN International Conference on Innovation in Aviation and Space for opening New Horizons, September 5-9, Salerno, Italy, IOP Journal of Physics, 9/2023.

  9. Lorena Göritz; Enrico Kochon; Jan Heinrich Beinke; Hanna-Liisa Pender; Oliver Thomas

    From DevOps to TeachOps: An Agile Approach for Instructional Design

    In: Axel Kalenborn; Masud Fazal-Baqaie; Oliver Linssen; Alexander Volland; Enes Yigitbas; Martin Engstler; Martin Bertram (Hrsg.). Projektmanagement und Vorgehensmodelle 2023. Projektmanagement und Vorgehensmodelle (PVM-2023), Nachhaltige IT-Projekte, November 16-17, Hagen, Germany, Pages 87-99, Lecture Notes in Informatics - Proceedings (LNI), Vol. P-340, ISBN 978-3-88579-734-0, Köllen Druck+Verlag GmbH, Bonn, 11/2023.

  10. Joanna Sorysz; Lars Krupp; Dominique Nshimyimana; Paul Lukowicz

    Beyond the Pocket: Preparing a Study on the Variations of Wearable Device Location

    In: Proceedings of The 13th International Conference on the Internet of Things (IoT). AccessIOT - Workshop on Integrating AI Technologies to Increase IoT Accessibility (AccessIOT-2023), located at IoT 2023, November 7, Nagoya, Japan, ACM, 2023.

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