Peter Auer
Research output
- 2006
- Published
Generic object recognition with Boosting
Opelt, A., Pinz, A., Fussenegger, M. & Auer, P., 2006, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 28, p. 416-431Research output: Contribution to journal › Article › Research › peer-review
- Published
Hannan consistency in online learning in case of unbounded losses under partial monitoring
Auer, P., Allenberg, C., Györfi, L. & Ottucsák, G., 2006, Algorithmic Learning Theory. Springer, p. 229-243Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Logarithmic online regret bounds for undiscounted reinforcement learning
Auer, P. & Ortner, R., 2006.Research output: Contribution to conference › Poster › Research › peer-review
- Published
Visual Classification of Images by Learning Geometric Appearances Through Boosting
Antenreiter, M., Savu-Krohn, C. & Auer, P., 2006, IAPR Workshop, ANNPR. Springer, p. 233-243Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Hannan consistency in on-line learning in case of unbounded losses under partial monitoring
Allenberg, C., Auer, P., Györfi, L. & Ottucsák, G., 1 Jan 2006, Algorithmic Learning Theory - 17th International Conference, ALT 2006, Proceedings. Springer Berlin, p. 229-243 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4264 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2007
- Published
A new PAC bound for intersection-closed concept classes
Auer, P. & Ortner, R., 2007, In: Machine learning. 66, p. 151-163Research output: Contribution to journal › Article › Research › peer-review
- Published
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, p. 454-468Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Logarithmic online regret bounds for undiscounted reinforcement learning
Auer, P. & Ortner, R., 2007, Advances in Neural Information Processing Systems 19. MIT Press, p. 49-56Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2008
- Published
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, p. 786-795Research output: Contribution to journal › Article › Research › peer-review
- Published
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. p. 0-0Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
