Research output

  1. 1998
  2. Published

    On Learning from Ambiguous Information

    Auer, P., 1998, In: Periodica polytechnica / Electrical engineering. 1, p. 115-122

    Research output: Contribution to journalArticleResearchpeer-review

  3. Published

    On-line Learning with Malicious Noise and the Closure Algorithm

    Auer, P. & Cesa-Bianchi, N., 1998, In: Annals of mathematics and artificial intelligence. 23, p. 83-99

    Research output: Contribution to journalArticleResearchpeer-review

  4. 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 proceedingConference contribution

  5. Published

    Tracking the Best Disjunction

    Auer, P. & Warmuth, M. K., 1998, In: Machine learning. 32, p. 127-150

    Research output: Contribution to journalArticleResearchpeer-review

  6. 1997
  7. 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 journalArticleResearchpeer-review

  8. 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 proceedingConference contribution

  9. 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 journalArticleResearchpeer-review

  10. 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 proceedingConference contribution

  11. 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 journalArticleResearchpeer-review

  12. 1996
  13. 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 proceedingConference contribution