Department Mathematics and Information Technology
Organisational unit: Departments and Institutes
Research output
- Published
Theory and Applications of Agnostic (PAC)-Learning with Small Decision Trees
Auer, P., Holte, R. C. & Maass, W., 1995, Proc. of the 12th International Machine Learning Conference. p. 21-29Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
On the Complexity of Function Learning
Auer, P., Long, P. M., Maass, W. & Wöginger, G. J., 1995, In: Machine learning. 18, p. 187-230Research output: Contribution to journal › Article › Research › peer-review
- Published
Tight Bounds on the Cumulative Profit of Distributed Voters
Auer, P., Caianiello, P. & Cesa-Bianchi, N., 1996, Proc. of the 15th Annual ACM Symposium on Principles of Distributed Computing. p. 312-312Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Limit Laws for the Maximal and Minimal Increments of the Poisson Process
Auer, P. & Hornik, K., 1996, In: Studia Scientiarum Mathematicarum Hungarica. 31, p. 1-13Research output: Contribution to journal › Article › Research › peer-review
- Published
Empirical evaluation of a new online reinforcement learning algorithm
Auer, P., Jaksch, T. & Ortner, R., 2006Research output: Book/Report › Commissioned report › Transfer › peer-review
- Published
Pinview: Implicit Feedback in Content-Based Image Retrieval
Auer, P., Hussain, Z., Kaski, S., Klami, A., Kujala, J., Laaksonen, J., Leung, P., Pasupa, K. & Shawe-Taylor, J., 2010, Pinview: Implicit Feedback in Content-Based Image Retrieval. p. 0-0Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Object recognition using geometric properties and a variant of boosting
Auer, P. & Antenreiter, M., 2005, 1st Austrian Cognitive Vision Workshop, 2005. Österr. Computer-Ges., p. 43-50Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Reducing communication for distributed learning in neural networks
Auer, P., Burgsteiner, H. & Maass, W., 2002, Proc. of the International Conference on Artificial Neural Networks - ICANN 2002. p. 123-128Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
A boosting approach to multiple-instance learning
Auer, P. & Ortner, R., 2005Research output: Book/Report › Commissioned report › Transfer › peer-review
- Published
Reinforcement Learning (Dagstuhl Seminar 13321)
Auer, P., 2013, In: Dagstuhl Reports. 3, p. 1-26Research output: Contribution to journal › Article › Research › peer-review
