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Publications

Displaying results 1371 to 1380 of 14374.

  1. Hendrik Blockeel; Karsten M. Borgwardt; Luc De Raedt; Pedro M. Domingos; Kristian Kersting; Xifeng Yan

    Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning

    In: Machine Learning, Vol. 83, No. 2, Pages 133-135, Springer, 2011.

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

    Convex non-negative matrix factorization for massive datasets

    In: Knowledge and Information Systems (KAIS), Vol. 29, No. 2, Pages 457-478, Springer, 2011.

  3. Hendrik Blockeel; Kristian Kersting; Siegfried Nijssen; Filip Zelezný

    A Revised Publication Model for ECML PKDD

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1207.6324, Pages 0-10, arXiv, 2012.

  4. Kristian Kersting; Tapani Raiko

    'Say EM' for Selecting Probabilistic Models for Logical Sequences

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1207.1353, Pages 0-10, arXiv, 2012.

  5. Martin Schiegg; Marion Neumann; Kristian Kersting

    Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data

    In: Neil D. Lawrence; Mark A. Girolami (Hrsg.). Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS-2012), April 21-23, La Palma, Spain, Pages 1002-1011, JMLR Proceedings, Vol. 22, JMLR.org, 2012.

  6. Martin Mladenov; Babak Ahmadi; Kristian Kersting

    Lifted Linear Programming

    In: Neil D. Lawrence; Mark A. Girolami (Hrsg.). Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS-2012), April 21-23, La Palma, Spain, Pages 788-797, JMLR Proceedings, Vol. 22, JMLR.org, 2012.

  7. Rudolph Triebel; Kristian Kersting; Wolfram Burgard

    Robust 3D Scan Point Classification using Associative Markov Networks

    In: Proceedings of the 2006 IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2006), May 15-19, Orlando, Florida, USA, Pages 2603-2608, IEEE, 2006.

  8. Bernd Gutmann; Kristian Kersting

    TildeCRF: Conditional Random Fields for Logical Sequences

    In: Johannes Fürnkranz; Tobias Scheffer; Myra Spiliopoulou (Hrsg.). Machine Learning: ECML 2006, 17th European Conference on Machine Learning, Proceedings. European Conference on Machine Learning (ECML-2006), September 18-22, Berlin, Germany, Pages 174-185, Lecture Notes in Computer Science (LNCS), Vol. 4212, Springer, 2006.

  9. Uwe Dick; Kristian Kersting

    Fisher Kernels for Relational Data

    In: Johannes Fürnkranz; Tobias Scheffer; Myra Spiliopoulou (Hrsg.). Machine Learning: ECML 2006, 17th European Conference on Machine Learning, Proceedings. European Conference on Machine Learning (ECML-2006), September 18-22, Berlin, Germany, Pages 114-125, Lecture Notes in Computer Science (LNCS), Vol. 4212, Springer, 2006.

  10. Kristian Kersting

    An inductive logic programming approach to statistical relational learning

    In: AI Communications (AIC), Vol. 19, No. 4, Pages 389-390, IOS Press, 2006.

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