Research output

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1998
Published
Some thoughts on Boosting and Neural Networks
Auer, P., 1998, 3. Cottbuser Workshop "Aspekte des Neuronalen Lernens". p. 11-28
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Tracking the Best Disjunction
Auer, P. & Warmuth, M. K., 1998, In: Machine learning. 32, p. 127-150
Research output: Contribution to journal › Article › Research › peer-review
1997
The Perceptron algorithm versus Winnow: Linear versus logarithmic mistake bounds when few input variables are relevant
Kivinen, J., Warmuth, M. K. & Auer, P., 1 Dec 1997, In: Artificial intelligence. 97, 1-2, p. 325-343 19 p.
Research output: Contribution to journal › Article › Research › peer-review
Published
Approximating Hyper-Rectangles: Learning and Pseudo-random Sets
Auer, P., Long, P. M. & Srinivasan, A., 1997, Proc. 29th Ann. Symp. Theory of Computing. p. 314-323
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Learning Nested Differences in the Presence of Malicious Noise
Auer, P., 1997, In: Theoretical Computer Science. 185, p. 159-175
Research output: Contribution to journal › Article › Research › peer-review
Published
On Learning from Multi-Instance Examples: Empirical Evaluation of a Theoretical Approach
Auer, P., 1997, On Learning from Multi-Instance Examples: Empirical Evaluation of a Theoretical Approach. p. 21-29
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
The Perceptron algorithm vs. Winnow: linear vs. logarithmic mistake bounds when few input variables are relevant
Auer, P., Kivinen, J. & Warmuth, M. K., 1997, In: Artificial intelligence. p. 325-343
Research output: Contribution to journal › Article › Research › peer-review
1996
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. 316-322
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Learning of Depth Two Neurals Nets with Constant Fan-in at the Hidden Nodes
Auer, P., Kwek, S., Maass, W. & Warmuth, M. K., 1996, Proc. of the Ninth Annual ACM Conference on Computational Learning Theory. p. 333-343
Research 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. 1-13
Research output: Contribution to journal › Article › Research › peer-review

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Research Portal

Research output

Some thoughts on Boosting and Neural Networks

Tracking the Best Disjunction

The Perceptron algorithm versus Winnow: Linear versus logarithmic mistake bounds when few input variables are relevant

Approximating Hyper-Rectangles: Learning and Pseudo-random Sets

Learning Nested Differences in the Presence of Malicious Noise

On Learning from Multi-Instance Examples: Empirical Evaluation of a Theoretical Approach

The Perceptron algorithm vs. Winnow: linear vs. logarithmic mistake bounds when few input variables are relevant

Exponentially Many Local Minima for Single Neurons

Learning of Depth Two Neurals Nets with Constant Fan-in at the Hidden Nodes

Limit Laws for the Maximal and Minimal Increments of the Poisson Process

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