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Publications

Displaying results 1811 to 1820 of 14483.

  1. 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 Learning (EWRL-2011), September 9-11, Athens, Greece, Lecture Notes in Computer Science, Vol. 7188, Springer, 2011.

  2. 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 International Conference on Information and Knowledge Management (CIKM-2011), October 24-28, Glasgow, United Kingdom, Pages 2273-2276, ACM, 2011.

  3. 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 Intelligence (AAAI-2011), August 7-11, San Francisco, CA, USA, Pages 447-452, AAAI Press, 2011.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. Marion Neumann; Roman Garnett; Christian Bauckhage; Kristian Kersting

    Propagation kernels: efficient graph kernels from propagated information

    In: Machine Learning, Vol. 102, No. 2, Pages 209-245, Springer, 2016.

  9. Piotr Szymanski; Tomasz Kajdanowicz; Kristian Kersting

    How Is a Data-Driven Approach Better than Random Choice in Label Space Division for Multi-Label Classification?

    In: Entropy, Vol. 18, No. 8, Pages 0-10, MDPI, 2016.

  10. Alejandro Molina; Antonio Vergari; Nicola Di Mauro; Sriraam Natarajan; Floriana Esposito; Kristian Kersting

    Sum-Product Networks for Hybrid Domains

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1710.03297, Pages 0-10, arXiv, 2017.

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