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Publikationen

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  1. 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 …

  2. 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 …

  3. 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 …

  4. 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 …

  5. 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.

  6. 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.

  7. Bruce McLaren; S. Isotani

    When is it best to learn with all worked examples?

    In: Gautam Biswas; Susan Bull; Judy Kay; Antonija Mitrovic (Hrsg.). Artificial Intelligence in Education; Proceedings of the 15th International …

  8. Bruce McLaren; Kevin D. Ashley

    Can temporal representation and reasoning make a difference in automated legal reasoning? Lessons from an AI-based ethical reasoner

    In: Kevin Ashley; Tom van Engers (Hrsg.). Proceedings of the Thirteenth International Conference on Artificial Intelligence and Law. International …

  9. H. Luo; Rui-Min Shen; C. Niu; Carsten Ullrich

    Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM.

    In: o.A. (Hrsg.). Proceedings of the 14th International Conference on Artificial Intelligence and Statistics. International Conference on Artificial …

  10. F. Loll; N. Pinkwart; Oliver. Scheuer; Bruce M McLaren

    Developing collaborative argumentation systems: What advice do the experts have? 

    In: H. Spada; G. Stahl; N. Miyake; N. Law (Hrsg.). Conference Proceedings. Volume II - Short Papers & Posters. International Conference on Computer …