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Publications

Displaying results 2661 to 2670 of 14429.
  1. SRL without Tears: An ILP Perspective

    In: Filip Zelezný; Nada Lavrac (Hrsg.). Inductive Logic Programming, 18th International Conference, Proceedings. International Conference on Inductive Logic Programming (ILP-2008), September 10-12, Prague, Czech Republic, Lecture Notes in Computer Science, Vol. 5194, Springer, 2008.

  2. 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). International Conference on Machine Learning (ICML-2008), June 5-9, Helsinki, Finland, Pages 456-463, ACM International Conference Proceeding Series, Vol. 307, ACM, 2008.

  3. 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), December 15-19, Pisa, Italy, Pages 857-862, IEEE Computer Society, 2008.

  4. 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 Intelligence (AAAI-2008), July 13-17, Chicago, Illinois, USA, Pages 1062-1068, AAAI Press, 2008.

  5. 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.

  6. Kristian Kersting; Babak Ahmadi; Sriraam Natarajan

    Counting Belief Propagation

    In: Jeff A. Bilmes; Andrew Y. Ng (Hrsg.). UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2009), June 18-21, Montreal, QC, Canada, Pages 277-284, AUAI Press, 2009.

  7. Learning Preferences with Hidden Common Cause Relations

    In: Wray L. Buntine; Marko Grobelnik; Dunja Mladenic; John Shawe-Taylor (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-2009), September 7-11, Bled, Slovenia, Pages 676-691, Lecture Notes in Computer Science, Vol. 5781, Springer, 2009.

  8. Hannes Schulz; Kristian Kersting; Andreas Karwath

    ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries

    In: Luc De Raedt (Hrsg.). Inductive Logic Programming, 19th International Conference. International Conference on Inductive Logic Programming (ILP-2009), July 2-4, Leuven, Belgium, Pages 209-216, Lecture Notes in Computer Science, Vol. 5989, Springer, 2009.

  9. 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.

  10. 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.