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Publikationen

Zeige Ergebnisse 1 bis 10 von 609.
  1. Tobias Lang; Marc Toussaint; Kristian Kersting

    Exploration in relational domains for model-based reinforcement learning

    In: Journal of Machine Learning Research, Vol. 13, Pages 3725-3768, JMLR, 2012.

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

    Descriptive matrix factorization for sustainability Adopting the principle of opposites

    In: Data Mining and Knowledge Discovery, Vol. 24, No. 2, Pages 325-354, Springer, 2012.

  3. Carsten Binnig; Robin Rehrmann; Franz Faerber; Rudolf Riewe

    FunSQL: it is time to make SQL functional

    In: Divesh Srivastava; Ismail Ari (Hrsg.). Proceedings of the 2012 Joint EDBT/ICDT Workshops. International Conference on Extending Database Technology (EDBT-2012), March 30, Berlin, Germany, Pages 41-46, ACM, 2012.

  4. Christian Thurau; Kristian Kersting; Christian Bauckhage

    Deterministic CUR for Improved Large-Scale Data Analysis: An Empirical Study

    In: Proceedings of the Twelfth SIAM International Conference on Data Mining. SIAM International Conference on Data Mining (SDM-2012), April 26-28, Anaheim, CA, USA, Pages 684-695, ISBN 978-1-61197-232-0, SIAM / Omnipress, 2012.

  5. Kristian Kersting; Mirwaes Wahabzada; Christoph Römer; Christian Thurau; Agim Ballvora; Uwe Rascher; Jens Leon; Christian Bauckhage; Lutz Plümer

    Simplex Distributions for Embedding Data Matrices over Time

    In: Proceedings of the Twelfth SIAM International Conference on Data Mining. SIAM International Conference on Data Mining (SDM-2012), April 26-28, Anaheim, CA, USA, Pages 295-306, ISBN 978-1-61197-232-0, SIAM / Omnipress, 2012.

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

    Matrix Factorization as Search

    In: Peter A. Flach; Tijl De Bie; Nello Cristianini (Hrsg.). Machine Learning and Knowledge Discovery in Databases - European Conference. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2012), September 24-28, Bristol, United Kingdom, Pages 850-853, Lecture Notes in Computer Science, Vol. 7524, Springer, 2012.

  7. Babak Ahmadi; Kristian Kersting; Sriraam Natarajan

    Lifted Online Training of Relational Models with Stochastic Gradient Methods

    In: Peter A. Flach; Tijl De Bie; Nello Cristianini (Hrsg.). Machine Learning and Knowledge Discovery in Databases - European Conference. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2012), September 24-28, Bristol, United Kingdom, Pages 585-600, Lecture Notes in Computer Science, Vol. 7523, Springer, 2012.

  8. Marion Neumann; Novi Patricia; Roman Garnett; Kristian Kersting

    Efficient Graph Kernels by Randomization

    In: Peter A. Flach; Tijl De Bie; Nello Cristianini (Hrsg.). Machine Learning and Knowledge Discovery in Databases - European Conference. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2012), September 24-28, Bristol, United Kingdom, Pages 378-393, Lecture Notes in Computer Science, Vol. 7523, Springer, 2012.

  9. Zahra Zamani; Scott Sanner; Pascal Poupart; Kristian Kersting

    Symbolic Dynamic Programming for Continuous State and Observation POMDPs

    In: Peter L. Bartlett; Fernando C. N. Pereira; Christopher J. C. Burges; Léon Bottou; Kilian Q. Weinberger (Hrsg.). Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Neural Information Processing Systems (NeurIPS-2012), December 3-6, Lake Tahoe, Nevada, USA, Pages 1403-1411, Curran Associates, Inc. 2012.

  10. 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.