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Publications

Displaying results 841 to 850 of 13744.
  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. Saket Joshi; Kristian Kersting; Roni Khardon

    Generalized First Order Decision Diagrams for First Order Markov Decision Processes

    In: Craig Boutilier (Hrsg.). IJCAI 2009, Proceedings of the 21st International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2009), July 11-17, Pasadena, California, USA, Pages 1916-1921, Morgan Kaufmann Publishers Inc. 2009.

  9. Zhao Xu; Kristian Kersting; Volker Tresp

    Multi-Relational Learning with Gaussian Processes

    In: Craig Boutilier (Hrsg.). IJCAI 2009, Proceedings of the 21st International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2009), July 11-17, Pasadena, California, USA, Pages 1309-1314, Morgan Kaufmann Publishers Inc. 2009.

  10. Novi Quadrianto; Kristian Kersting; Mark D. Reid; Tibério S. Caetano; Wray L. Buntine

    Kernel Conditional Quantile Estimation via Reduction Revisited

    In: Wei Wang; Hillol Kargupta; Sanjay Ranka; Philip S. Yu; Xindong Wu (Hrsg.). ICDM 2009, The Ninth IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2009), December 6-9, Miami, Florida, USA, Pages 938-943, IEEE Computer Society, 2009.