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Publications

Displaying results 2021 to 2030 of 14533.
  1. Kristian Kersting; Mirwaes Wahabzada; Christoph Römer; Christian Thurau; Agim Ballvora; Uwe Rascher; Jens Leon; Christian Bauckhage; Lutz Plümer

    Simplex Distributions for Embedding Data Matrices over Time

    In: Proceedings of the Twelfth SIAM International Conference on Data Mining. SIAM International Conference on Data Mining (SDM-2012), April 26-28, Anaheim, CA, USA, Pages 295-306, ISBN 978-1-61197-232-0, SIAM / Omnipress, 2012.

  2. Kristian Kersting; Christian Bauckhage; Christian Thurau; Mirwaes Wahabzada

    Matrix Factorization as Search

    In: Peter A. Flach; Tijl De Bie; Nello Cristianini (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-2012), September 24-28, Bristol, United Kingdom, Pages 850-853, Lecture Notes in Computer Science, Vol. 7524, Springer, 2012.

  3. Babak Ahmadi; Kristian Kersting; Sriraam Natarajan

    Lifted Online Training of Relational Models with Stochastic Gradient Methods

    In: Peter A. Flach; Tijl De Bie; Nello Cristianini (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-2012), September 24-28, Bristol, United Kingdom, Pages 585-600, Lecture Notes in Computer Science, Vol. 7523, Springer, 2012.

  4. Marion Neumann; Novi Patricia; Roman Garnett; Kristian Kersting

    Efficient Graph Kernels by Randomization

    In: Peter A. Flach; Tijl De Bie; Nello Cristianini (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-2012), September 24-28, Bristol, United Kingdom, Pages 378-393, Lecture Notes in Computer Science, Vol. 7523, Springer, 2012.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. Zhao Xu; Volker Tresp; Achim Rettinger; Kristian Kersting

    Social Network Mining with Nonparametric Relational Models

    In: C. Lee Giles; Marc Smith; John Yen; Haizheng Zhang (Hrsg.). Advances in Social Network Mining and Analysis, Second International Workshop, SNAKDD 2008, Revised Selected Papers. International Workshop on Social Network Mining and Analysis (SNAKDD-2008), August 24-27, Las Vegas, NV, USA, Pages 77-96, Lecture Notes in Computer Science (LNCS), Vol. 5498, Springer, 2008.

  10. PerSim: Perception for Planetary Prospection and Internal Simulation

    In: 17th Symposium on Advanced Space Technologies in Robotics and Automation. ESA/Estec Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA-2023), October 18-20, Leiden, Netherlands, ASTRA Proceedings, Noordwijk The Netherlands, 2023.