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Publications

Displaying results 1571 to 1580 of 14485.
  1. Luc De Raedt; Kristian Kersting; Angelika Kimmig; Kate Revoredo; Hannu Toivonen

    Revising Probabilistic Prolog Programs

    In: Stephen H. Muggleton; Ramón P. Otero; Alireza Tamaddoni-Nezhad (Hrsg.). Inductive Logic Programming, 16th International Conference. International Conference on Inductive Logic Programming (ILP-2006), August 24-27, Santiago de Compostela, Spain, Pages 30-33, Lecture Notes in Computer Science, Vol. 4455, Springer, 2006.

  2. 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.

  3. 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.

  4. 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.

  5. An inductive logic programming approach to statistical relational learning

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

  6. 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.

  7. 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.

  8. Andreas Wagner; Simon Lamoth; Magnus Volkmann; Jesko Hermann; Martin Ruskowski

    Interaction between FeasibilityCheck, PreconditionCheck and SkillExecution in skill-based machining

    In: 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Pages 1-8, IEEE, 2023.

  9. Enabling Fault Diagnosis in Skill-Based Production Environments

    In: 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Pages 1-8, IEEE, 2023.

  10. Christoph Geißler; Paula Gauselmann; Christian Jilek; Heiko Maus; Christian Frings; Tobias Tempel

    A functional near-infrared spectroscopy study on the prefrontal correlates of cognitive offloading via a personal knowledge assistant

    In: Nature Scientific Reports (Sci Rep), Vol. 13, No. 13938, Pages 1-9, Springer Nature, 2023.