Department Mathematics and Information Technology
Organisational unit: Departments and Institutes
Research output
- 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
Exploration and Exploitation in Online Learning
Auer, P., 2011, International Conference on Adaptive and Intelligent Symstems - ICAIS 2011. p. 2-2Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Solving String Equations with Constant Restrictions
Auer, P., 1991, Solving String Equations with Constant Restrictions. p. 103-132Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
The Number of Points of an Empirical or (Poisson) Process Covered by Unions of Sets
Auer, P. & Hornik, K., 1996, In: Journal of multivariate analysis (JMVAAI). p. 37-51Research output: Contribution to journal › Article › Research › peer-review
- Published
Exponentially Many Local Minima for Single Neurons
Auer, P., Herbster, M. & Warmuth, M. K., 1996, Advances in Neural Information Processing System 8. MIT Press, p. 316-322Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
On Learning from Ambiguous Information
Auer, P., 1998, In: Periodica polytechnica / Electrical engineering. 1, p. 115-122Research output: Contribution to journal › Article › Research › peer-review
- Published
Gambling in a Rigged Casino: The Adversarial Multi-Armed Bandit Problem
Auer, P., Cesa-Bianchi, N., Freund, Y. & Schapire, R. E., 1995, 36th Annual Symposium on Foundations of Computer Science. p. 322-331Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
On the Number of Points of a Homogeneous Poisson Process
Auer, P. & Hornik, K., 1994, In: Journal of multivariate analysis (JMVAAI). 1, p. 115-156Research output: Contribution to journal › Article › Research › peer-review
- Published
Learning Nested Differences in the Presence of Malicious Noise
Auer, P., 1997, In: Theoretical Computer Science. 185, p. 159-175Research output: Contribution to journal › Article › Research › peer-review
- Published
Tracking the Best Disjunction
Auer, P. & Warmuth, M. K., 1998, In: Machine learning. 32, p. 127-150Research output: Contribution to journal › Article › Research › peer-review
