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Publications

Displaying results 41 to 50 of 5643.

  1. 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 …

  2. 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 …

  3. Ahmed Jawad; Kristian Kersting; Natalia V. Andrienko

    Where traffic meets DNA: mobility mining using biological sequence analysis revisited

    In: Isabel F. Cruz; Divyakant Agrawal; Christian S. Jensen; Eyal Ofek; Egemen Tanin (Hrsg.). 19th ACM SIGSPATIAL International Symposium on Advances …

  4. Kristian Kersting

    Invited Talk: Increasing Representational Power and Scaling Inference in Reinforcement Learning

    In: Scott Sanner; Marcus Hutter (Hrsg.). Recent Advances in Reinforcement Learning - 9th European Workshop. European Workshop on Reinforcement …

  5. Mirwaes Wahabzada; Kristian Kersting; Anja Pilz; Christian Bauckhage

    More influence means less work: fast latent dirichlet allocation by influence scheduling

    In: Craig Macdonald; Iadh Ounis; Ian Ruthven (Hrsg.). Proceedings of the 20th ACM Conference on Information and Knowledge Management. ACM …

  6. Marion Neumann; Babak Ahmadi; Kristian Kersting

    Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation

    In: Wolfram Burgard; Dan Roth (Hrsg.). Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial …

  7. 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.

  8. 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.

  9. 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.

  10. 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.

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