Research output

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2006
Published
Hannan consistency in online learning in case of unbounded losses under partial monitoring
Auer, P., Allenberg, C., Györfi, L. & Ottucsák, G., 2006, Algorithmic Learning Theory. Springer, p. 229-243
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Logarithmic online regret bounds for undiscounted reinforcement learning
Auer, P. & Ortner, R., 2006.
Research output: Contribution to conference › Poster › Research › peer-review
Published
Visual Classification of Images by Learning Geometric Appearances Through Boosting
Antenreiter, M., Savu-Krohn, C. & Auer, P., 2006, IAPR Workshop, ANNPR. Springer, p. 233-243
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2005
Published
Experiments with hierarchical text classification
Granitzer, M. & Auer, P., 1 Dec 2005, Proceedings of the 9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005. p. 177-182 6 p. (Proceedings of the 9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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. 27-32
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
A boosting approach to multiple-instance learning
Auer, P. & Ortner, R., 2005
Research output: Book/Report › Commissioned report › Transfer › peer-review
Published
Learning Theory, 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings 2005
Auer, P., 2005, Springer. (LNCS; vol. 3559)
Research output: Book/Report › Book › Research
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. 43-50
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Online Regret Bounds for a New Reinforcement Learning Algorithm
Auer, P. & Ortner, R., 2005, 1st Austrian Cognitive Vision Workshop. Österr. Computer-Ges., p. 35-42
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2004
Published
A Boosting Approach to Multiple Instance Learning
Auer, P. & Ortner, R., 2004, Machine Learning, 15th European Conference on Machine Learning, ECML 2004. Springer, p. 63-74
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Research Portal

Research output

Hannan consistency in online learning in case of unbounded losses under partial monitoring

Logarithmic online regret bounds for undiscounted reinforcement learning

Visual Classification of Images by Learning Geometric Appearances Through Boosting

Experiments with hierarchical text classification

A Simple Feature Extraction for High Dimensional Image Representations (preliminary version)

A boosting approach to multiple-instance learning

Learning Theory, 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings 2005

Object recognition using geometric properties and a variant of boosting

Online Regret Bounds for a New Reinforcement Learning Algorithm

A Boosting Approach to Multiple Instance Learning

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