Skip to main content Skip to main navigation

Publications

Displaying results 1491 to 1500 of 14487.

  1. Rudolph Triebel; Kristian Kersting; Wolfram Burgard

    Robust 3D Scan Point Classification using Associative Markov Networks

    In: Proceedings of the 2006 IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2006), May 15-19, Orlando, Florida, USA, Pages 2603-2608, IEEE, 2006.

  2. Bernd Gutmann; Kristian Kersting

    TildeCRF: Conditional Random Fields for Logical Sequences

    In: Johannes Fürnkranz; Tobias Scheffer; Myra Spiliopoulou (Hrsg.). Machine Learning: ECML 2006, 17th European Conference on Machine Learning, Proceedings. European Conference on Machine Learning (ECML-2006), September 18-22, Berlin, Germany, Pages 174-185, Lecture Notes in Computer Science (LNCS), Vol. 4212, Springer, 2006.

  3. Uwe Dick; Kristian Kersting

    Fisher Kernels for Relational Data

    In: Johannes Fürnkranz; Tobias Scheffer; Myra Spiliopoulou (Hrsg.). Machine Learning: ECML 2006, 17th European Conference on Machine Learning, Proceedings. European Conference on Machine Learning (ECML-2006), September 18-22, Berlin, Germany, Pages 114-125, Lecture Notes in Computer Science (LNCS), Vol. 4212, Springer, 2006.

  4. Kristian Kersting

    An inductive logic programming approach to statistical relational learning

    In: AI Communications (AIC), Vol. 19, No. 4, Pages 389-390, IOS Press, 2006.

  5. Luc De Raedt; Thomas G. Dietterich; Lise Getoor; Kristian Kersting; Stephen H. Muggleton (Hrsg.)

    07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis

    Probabilistic, Logical and Relational Learning - A Further Synthesis, April 14-20, Schloss Dagstuhl, Germany, Dagstuhl Seminar Proceedings, Vol. 07161, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany, 2007.

  6. 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.

  7. Michael Lutter; Jan Peters

    Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models

    In: International Journal of Robotics Research (IJRR), Vol. abs/2110.01894, Pages 83-107, Sage Publications, 2023.

  8. Vladimir Herdt; Daniel Große; Rolf Drechsler

    Verbessertes virtuelles Prototyping Mit RISC-V-Fallstudien

    Springer Vieweg, 2023.

  9. Saeideh Shirinzadeh; Rolf Drechsler

    In-Memory-Computing Synthese und Optimierung

    Springer, 2023.

  10. Rolf Drechsler; Jannis Ulrich Stoppe

    Noerdman Comicbuch

    JR Blendermann Verlag, 2023.

Year

More options