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Publications

Displaying results 1941 to 1950 of 14483.

  1. Mayukh Das; Yuqing Wu; Tushar Khot; Kristian Kersting; Sriraam Natarajan

    Scaling Lifted Probabilistic Inference and Learning Via Graph Databases

    In: Sanjay Chawla Venkatasubramanian; Wagner Meira Jr. (Hrsg.). Proceedings of the 2016 SIAM International Conference on Data Mining. SIAM International Conference on Data Mining (SDM-2016), May 5-7, Miami, FL, USA, Pages 738-746, ISBN 978-1-61197-434-8, SIAM, 2016.

  2. Joseph G. Taylor; Viktoriia Sharmanska; Kristian Kersting; David Weir; Novi Quadrianto

    Learning Using Unselected Features (LUFe)

    In: Subbarao Kambhampati (Hrsg.). Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2016), July 9-15, New York, NY, USA, Pages 2060-2066, IJCAI/AAAI Press, 2016.

  3. Christopher Morris; Nils M. Kriege; Kristian Kersting; Petra Mutzel

    Faster Kernels for Graphs with Continuous Attributes via Hashing

    In: Francesco Bonchi; Josep Domingo-Ferrer; Ricardo Baeza-Yates; Zhi-Hua Zhou; Xindong Wu (Hrsg.). IEEE 16th International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2016), December 12-15, Barcelona, Spain, Pages 1095-1100, IEEE Computer Society, 2016.

  4. Shuo Yang; Tushar Khot; Kristian Kersting; Sriraam Natarajan

    Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach

    In: Dale Schuurmans; Michael P. Wellman (Hrsg.). Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2016), February 12-17, Phoenix, Arizona, USA, Pages 2265-2271, AAAI Press, 2016.

  5. Martin Schiegg; Marion Neumann; Kristian Kersting

    Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data

    In: Neil D. Lawrence; Mark A. Girolami (Hrsg.). Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS-2012), April 21-23, La Palma, Spain, Pages 1002-1011, JMLR Proceedings, Vol. 22, JMLR.org, 2012.

  6. Martin Mladenov; Babak Ahmadi; Kristian Kersting

    Lifted Linear Programming

    In: Neil D. Lawrence; Mark A. Girolami (Hrsg.). Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS-2012), April 21-23, La Palma, Spain, Pages 788-797, JMLR Proceedings, Vol. 22, JMLR.org, 2012.

  7. Mirwaes Wahabzada; Kristian Kersting; Christian Bauckhage; Christoph Römer; Agim Ballvora; Francisco Pinto; Uwe Rascher; Jens Leon; Lutz Ploemer

    Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants

    In: Nando de Freitas; Kevin P. Murphy (Hrsg.). Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2012), August 14-18, Catalina Island, CA, USA, Pages 852-862, AUAI Press, 2012.

  8. 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.

  9. 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.

  10. 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.

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