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Publications

Displaying results 1821 to 1830 of 15033.

  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. 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.

  8. 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.

  9. Christoph Pinkel; Carsten Binnig; Ernesto Jiménez-Ruiz; Evgeny Kharlamov; Andriy Nikolov; Andreas Schwarte; Christian Heupel; Tim Kraska

    IncMap: A Journey towards Ontology-based Data Integration

    In: Bernhard Mitschang; Daniela Nicklas; Frank Leymann; Harald Schöning; Melanie Herschel; Jens Teubner; Theo Härder; Oliver Kopp; Matthias Wieland (Hrsg.). Datenbanksysteme für Business, Technologie und Web. GI-Fachtagungen (BTW-2017), March 6-10, Stuttgart, Germany, Pages 145-164, LNI, Vol. P-265, GI, 2017.

  10. Alex Galakatos; Andrew Crotty; Emanuel Zgraggen; Carsten Binnig; Tim Kraska

    Revisiting Reuse for Approximate Query Processing

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 10, No. 10, Pages 1142-1153, Association for Computing Machinery (ACM), 2017.

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