Peter Auer
Research output
- Published
Degree of approximation results for feedforward networks approximating unknown mappings and their derivatives
Auer, P., Hornik, K., Stinchombe, H. & White, H., 1994, In: Neural computation. 6, p. 1262-1275Research output: Contribution to journal › Article › Research › peer-review
- Published
Consistent Interpretation of Image Sequences to Improve Object Models on the fly
Prankl, J., Antenreiter, M., Auer, P. & Vincze, M., 2009, Computer Vision Systems. p. 384-393Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Combining Classifiers for Improved Multilabel Image Classification
Antenreiter, M., Ortner, R. & Auer, P., 2009, Learning from Multi-label Data, MLD Workshop at ECML 2009. p. 16-27Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Combining Classifiers for Improved Multilabel Image Classification
Antenreiter, M., Ortner, R. & Auer, P., 2009.Research output: Contribution to conference › Poster › Research › peer-review
- Published
Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms
Gajane, P., Auer, P. & Ortner, R., 2023, Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23). p. 3714-3722Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Autonomous Exploration For Navigating In MDPs.
Lim, S. H. & Auer, P., 2012, Proceedings of the 25th Annual Conference on Learning Theory. p. 40.1-40.24Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
A Sliding-Window Approach for Reinforcement Learning in MDPs with Arbitrarily Changing Rewards and Transitions.
Gajane, P., Ortner, R. & Auer, P., 2018.Research output: Contribution to conference › Paper › peer-review
- Published
A Simple Feature Extraction for High Dimensional Image Representations (preliminary version)
Savu-Krohn, C. & Auer, P., 2005, 1st Austrian Cognitive Vision Workshop. Österr. Computer-Ges., p. 27-32Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
A Simple Feature Extraction for High Dimensional Image Representations
Savu-Krohn, C. & Auer, P., 2006, Subspace, Latent Structure and Feature Selection. p. 163-172Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
A Reinforcement Learning Motivated Algorithm for Process Optimization
Ábrahám, Á., Auer, P., Dósa, G., Dulai, T. & Werner-Stark, Á., 18 Dec 2019, In: Periodica Polytechnica Civil Engineering. 63.2019, 4, p. 961-970 10 p.Research output: Contribution to journal › Article › Research › peer-review
