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Publications

Displaying results 1421 to 1430 of 15195.

  1. 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.

  2. 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.

  3. 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.

  4. Muhammad El-Hindi; Zheguang Zhao; Carsten Binnig; Tim Kraska

    VisTrees: fast indexes for interactive data exploration

    In: Carsten Binnig; Alan D. Fekete; Arnab Nandi (Hrsg.). Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA@SIGMOD. Workshop on Human-In-the-Loop Data Analytics (HILDA-2016), located at SIGMOD/PODS'16, June 28, San Francisco, CA, USA, ACM, 2016.

  5. Carsten Binnig; Andrew Crotty; Alex Galakatos; Tim Kraska; Erfan Zamanian

    The End of Slow Networks: It's Time for a Redesign

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 9, No. 7, Pages 528-539, Association for Computing Machinery (ACM), 2016.

  6. Philipp Eichmann; Emanuel Zgraggen; Zheguang Zhao; Carsten Binnig; Tim Kraska

    Towards a Benchmark for Interactive Data Exploration

    In: IEEE Data Engineering Bulletin, Vol. 39, No. 4, Pages 50-61, IEEE, 2016.

  7. 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.

  8. 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.

  9. 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.

  10. Pranuthi Tenali; Sahil Sidheekh; Saurabh Mathur; Vijayalakshmi Saravanan; Erik Blasch; Kristian Kersting; Sriraam Natarajan

    Reliable Fusion of Conflicting Experts

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2609.27913, Pages 1-9, arXiv, 2026.

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