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Publications

Displaying results 1911 to 1920 of 14764.

  1. Babak Ahmadi; Salah Zayakh; Fabian Hadiji; Kristian Kersting

    O Scientist, Where Art Thou? Affiliation Propagation for Geo-Referencing Scientific Publications

    In: Myra Spiliopoulou; Andreas Nürnberger; René Schult (Hrsg.). Report of the symposium "Lernen, Wissen, Adaptivität 2011" of the GI special interest groups KDML, IR and WM. GI-Workshop-Tage "Lernen, Wissen, Adaptivität" (LWA-2011), September 28-30, Pages 133-136, Fakultät für Informatik, Otto-von-Guericke-Universität Magdeburg, 2011.

  2. Babak Ahmadi; Martin Mladenov; Kristian Kersting; Scott Sanner

    On Lifted PageRank, Kalman Filter and Towards Lifted Linear Program Solving

    In: Myra Spiliopoulou; Andreas Nürnberger; René Schult (Hrsg.). Report of the symposium "Lernen, Wissen, Adaptivität 2011" of the GI special interest groups KDML, IR and WM. GI-Workshop-Tage "Lernen, Wissen, Adaptivität" (LWA-2011), September 28-30, Pages 35-42, Fakultät für Informatik, Otto-von-Guericke-Universität Magdeburg, 2011.

  3. Fabian Hadiji; Babak Ahmadi; Kristian Kersting

    Efficient Sequential Clamping for Lifted Message Passing

    In: Joscha Bach; Stefan Edelkamp (Hrsg.). KI 2011: Advances in Artificial Intelligence, 34th Annual German Conference on AI, Proceedings. German Conference on Artificial Intelligence (KI-2011), October 4-7, Berlin, Germany, Pages 122-133, Lecture Notes in Computer Science, Vol. 7006, Springer, 2011.

  4. Babak Ahmadi; Kristian Kersting; Scott Sanner

    Multi-Evidence Lifted Message Passing, with Application to PageRank and the Kalman Filter

    In: Toby Walsh (Hrsg.). IJCAI 2011, Proceedings of the 22nd International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2011), July 16-22, Barcelona, Spain, Pages 1152-1158, IJCAI/AAAI, 2011.

  5. Zhao Xu; Kristian Kersting

    Multi-task Learning with Task Relations

    In: Diane J. Cook; Jian Pei; Wei Wang; Osmar R. Zaïane; Xindong Wu (Hrsg.). 11th IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2011), December 11-14, Vancouver, BC, Canada, Pages 884-893, IEEE Computer Society, 2011.

  6. Tushar Khot; Sriraam Natarajan; Kristian Kersting; Jude W. Shavlik

    Learning Markov Logic Networks via Functional Gradient Boosting

    In: Diane J. Cook; Jian Pei; Wei Wang; Osmar R. Zaïane; Xindong Wu (Hrsg.). 11th IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2011), December 11-14, Vancouver, BC, Canada, Pages 320-329, IEEE Computer Society, 2011.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

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