Publications

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Luc De Raedt; Kristian Kersting; Angelika Kimmig; Kate Revoredo; Hannu Toivonen
Compressing probabilistic Prolog programs
In: Machine Learning, Vol. 70, No. 2-3, Pages 151-168, Springer, 2008.
Brian Milch; Luke S. Zettlemoyer; Kristian Kersting; Michael Haimes; Leslie Pack Kaelbling
Lifted Probabilistic Inference with Counting Formulas
In: Dieter Fox; Carla P. Gomes (Hrsg.). Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial …
Andreas Karwath; Kristian Kersting; Niels Landwehr
Boosting Relational Sequence Alignments
In: Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008). IEEE International Conference on Data Mining (ICDM-2008), …
Kristian Kersting; Kurt Driessens
Non-parametric policy gradients: a unified treatment of propositional and relational domains
In: William W. Cohen; Andrew McCallum; Sam T. Roweis (Hrsg.). Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008). …
Kristian Kersting
SRL without Tears: An ILP Perspective
In: Filip Zelezný; Nada Lavrac (Hrsg.). Inductive Logic Programming, 18th International Conference, Proceedings. International Conference on Inductive …
Sriraam Natarajan; Hung Hai Bui; Prasad Tadepalli; Kristian Kersting; Weng-Keen Wong
Logical Hierarchical Hidden Markov Models for Modeling User Activities
In: Filip Zelezný; Nada Lavrac (Hrsg.). Inductive Logic Programming, 18th International Conference, Proceedings. International Conference on Inductive …
Christian Plagemann; Sebastian Mischke; Sam Prentice; Kristian Kersting; Nicholas Roy; Wolfram Burgard
Learning predictive terrain models for legged robot locomotion
In: 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …
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 …
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 …
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. …