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Publications

Displaying results 861 to 870 of 15094.

  1. Matej Petkovic; Michelangelo Ceci; Kristian Kersting; Saso Dzeroski

    Estimating the Importance of Relational Features by Using Gradient Boosting

    In: Denis Helic; Gerhard Leitner; Martin Stettinger; Alexander Felfernig; Zbigniew W. Ras (Hrsg.). Foundations of Intelligent Systems - 25th International Symposium, ISMIS 2020, Proceedings. International Symposium on Methodologies for Intelligent Systems (ISMIS-2020), September 23-25, Graz, Austria, Pages 362-371, Lecture Notes in Computer Science (LNCS), Vol. 12117, Springer, 2020.

  2. Robert Peharz; Steven Lang; Antonio Vergari; Karl Stelzner; Alejandro Molina; Martin Trapp; Guy Van den Broeck; Kristian Kersting; Zoubin Ghahramani

    Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits

    In: Proceedings of the 37th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2020), July 13-18, Pages 7563-7574, Proceedings of Machine Learning Research, Vol. 119, PMLR, 2020.

  3. Cigdem Turan; Patrick Schramowski; Constantin A. Rothkopf; Kristian Kersting

    Alfie: An Interactive Robot with Moral Compass

    In: Khiet P. Truong; Dirk Heylen; Mary Czerwinski; Nadia Berthouze; Mohamed Chetouani; Mikio Nakano (Hrsg.). ICMI '20: International Conference on Multimodal Interaction. ACM International Conference on Multimodal Interaction (ICMI-2020), October 25-29, Pages 758-759, ACM, 2020.

  4. 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.

  5. 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.

  6. 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 in Geographic Information Systems, ACM-GIS 2011, Proceedings. International Conference on Advances in Geographic Information Systems (ACM GIS-2011), November 1-4, Chicago, IL, USA, Pages 357-360, ACM, 2011.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

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