Skip to main content Skip to main navigation

Publikationen

Aktive Filter:

Jahr: 2008
Alle Filter entfernen
Zeige Ergebnisse 41 bis 50 von 506.

  1. Carsten Binnig; Donald Kossmann; Eric Lo; Angel Saenz-Badillos

    Automatic Result Verification for the Functional Testing of a Query Language

    In: Gustavo Alonso; José A. Blakeley; Arbee L. P. Chen (Hrsg.). Proceedings of the 24th International Conference on Data Engineering. IEEE International Conference on Data Engineering (ICDE-2008), April 7-12, Cancún, Mexico, Pages 1534-1536, IEEE Computer Society, 2008.

  2. Gustavo Alonso; Donald Kossmann; Timothy Roscoe; Nesime Tatbul; Andrew Baumann; Carsten Binnig; Peter M. Fischer; Oriana Riva; Jens Teubner

    The ETH Zurich systems group and enterprise computing center

    In: SIGMOD Record, Vol. 37, No. 4, Pages 94-99, Association for Computing Machinery (ACM), 2008.

  3. Carsten Binnig; Donald Kossmann; Eric Lo

    Towards Automatic Test Database Generation

    In: IEEE Data Engineering Bulletin, Vol. 31, No. 1, Pages 28-35, IEEE, 2008.

  4. Carsten Binnig

    Generating meaningful test databases

    PhD-Thesis, University of Heidelberg, Germany, 2008.

  5. Kristian Kersting; Luc De Raedt; Bernd Gutmann; Andreas Karwath; Niels Landwehr

    Relational Sequence Learning

    In: Luc De Raedt; Paolo Frasconi; Kristian Kersting; Stephen H. Muggleton (Hrsg.). Probabilistic Inductive Logic Programming - Theory and Applications. Pages 28-55, Lecture Notes in Computer Science, Vol. 4911, Springer, 2008.

  6. Bernd Gutmann; Angelika Kimmig; Kristian Kersting; Luc De Raedt

    Parameter Learning in Probabilistic Databases: A Least Squares Approach

    In: Walter Daelemans; Bart Goethals; Katharina Morik (Hrsg.). Machine Learning and Knowledge Discovery in Databases, European Conference, Proceedings. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2008), September 15-19, Antwerp, Belgium, Pages 473-488, Lecture Notes in Computer Science, Vol. 5211, Springer, 2008.

  7. Christian Plagemann; Kristian Kersting; Wolfram Burgard

    Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness

    In: Walter Daelemans; Bart Goethals; Katharina Morik (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-2008), September 15-19, Antwerp, Belgium, Pages 204-219, Lecture Notes in Computer Science, Vol. 5212, Springer, 2008.

  8. Zhao Xu; Volker Tresp; Achim Rettinger; Kristian Kersting

    Social Network Mining with Nonparametric Relational Models

    In: C. Lee Giles; Marc Smith; John Yen; Haizheng Zhang (Hrsg.). Advances in Social Network Mining and Analysis, Second International Workshop, SNAKDD 2008, Revised Selected Papers. International Workshop on Social Network Mining and Analysis (SNAKDD-2008), August 24-27, Las Vegas, NV, USA, Pages 77-96, Lecture Notes in Computer Science (LNCS), Vol. 5498, Springer, 2008.

  9. Christian Plagemann; Sebastian Mischke; Sam Prentice; Kristian Kersting; Nicholas Roy; Wolfram Burgard

    Learning predictive terrain models for legged robot locomotion

    In: 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2008), September 22-26, Nice, France, Pages 3545-3552, IEEE, 2008.

  10. Sriraam Natarajan; Hung Hai Bui; Prasad Tadepalli; Kristian Kersting; Weng-Keen Wong

    Logical Hierarchical Hidden Markov Models for Modeling User Activities

    In: Filip Zelezný; Nada Lavrac (Hrsg.). Inductive Logic Programming, 18th International Conference, Proceedings. International Conference on Inductive Logic Programming (ILP-2008), September 10-12, Prague, Czech Republic, Pages 192-209, Lecture Notes in Computer Science, Vol. 5194, Springer, 2008.

Jahr