Peter Auer

Publikationen

  1. 2009
  2. Veröffentlicht

    Relevance Feedback Models for Content-Based Image Retrieval

    Auer, P. & Leung, P. 2009 Multimedia Analysis, Processing and Communications.

    Forschungsoutput: ForschungBeitrag in Buch/Sammelband

  3. Veröffentlicht

    Using a spatio-temporal reasoning system to improve object models on the fly

    Antenreiter, M., Prankl, J., Vincze, M. & Auer, P. 2009 33rd Workshop of the Austrian Association for Pattern Recognition - Visual Learning. S. 25-36

    Forschungsoutput: ForschungBeitrag in Konferenzband

  4. 2008
  5. Veröffentlicht

    A learning rule for very simple universal approximators consisting of a single layer of perceptrons

    Auer, P., Burgsteiner, H. & Maass, W. 2008 in : Neural networks. 21, S. 786-795

    Forschungsoutput: Forschung - (peer-reviewed)Artikel

  6. Veröffentlicht

    An efficient search algorithm for content-based image retrieval with user feedback

    Leung, P. & Auer, P. 2008 An efficient search algorithm for content-based image retrieval with user feedback. S. 0-0

    Forschungsoutput: ForschungBeitrag in Konferenzband

  7. Veröffentlicht

    Learning with Malicious Noise

    Auer, P. 2008 Encyclopedia of Algorithms. S. 1-99

    Forschungsoutput: ForschungBeitrag in Buch/Sammelband

  8. Veröffentlicht

    Near-optimal Regret Bounds for Reinforcement Learning

    Auer, P., Jaksch, T. & Ortner, R. 2008

    Forschungsoutput: Forschung - (peer-reviewed)Poster

  9. 2007
  10. Veröffentlicht

    A new PAC bound for intersection-closed concept classes

    Auer, P. & Ortner, R. 2007 in : Machine learning. 66, S. 151-163

    Forschungsoutput: Forschung - (peer-reviewed)Artikel

  11. Veröffentlicht

    Improved Rates for the Stochastic Continuum-Armed Bandit Problem

    Auer, P., Ortner, R. & Szepesvári, C. 2007 Proceedings of the 20th Annual Conference on Learning Theory. Springer, S. 454-468

    Forschungsoutput: ForschungBeitrag in Konferenzband

  12. Veröffentlicht

    Logarithmic online regret bounds for undiscounted reinforcement learning

    Auer, P. & Ortner, R. 2007 Advances in Neural Information Processing Systems 19. MIT Press, S. 49-56

    Forschungsoutput: ForschungBeitrag in Konferenzband

  13. 2006
  14. Veröffentlicht

    A Simple Feature Extraction for High Dimensional Image Representations

    Savu-Krohn, C. & Auer, P. 2006 Subspace, Latent Structure and Feature Selection. S. 163-172

    Forschungsoutput: ForschungBeitrag in Konferenzband