Research output

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Published
Combining Classifiers for Improved Multilabel Image Classification
Antenreiter, M., Ortner, R. & Auer, P., 2009, Learning from Multi-label Data, MLD Workshop at ECML 2009. p. 16-27
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Combining Classifiers for Improved Multilabel Image Classification
Antenreiter, M., Ortner, R. & Auer, P., 2009.
Research output: Contribution to conference › Poster › Research › peer-review
Published
A new PAC bound for intersection-closed concept classes
Auer, P. & Ortner, R., 2007, In: Machine learning. 66, p. 151-163
Research output: Contribution to journal › Article › Research › peer-review
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
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
Published
Empirical evaluation of a new online reinforcement learning algorithm
Auer, P., Jaksch, T. & Ortner, R., 2006
Research output: Book/Report › Commissioned report › Transfer › peer-review
Published
A boosting approach to multiple-instance learning
Auer, P. & Ortner, R., 2005
Research output: Book/Report › Commissioned report › Transfer › peer-review
Published
A New PAC-bound for Intersection-closed Concept Classes
Auer, P. & Ortner, R., 2004, Learning Theory, 17th Annual Conference on Learning Theory. Springer, p. 408-414
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Near-optimal Regret Bounds for Reinforcement Learning
Auer, P., Jaksch, T. & Ortner, R., 2009
Research output: Book/Report › Commissioned report › Transfer › peer-review
Published
Improved Rates for the Stochastic Continuum-Armed Bandit Problem
Auer, P., Ortner, R. & Szepesvári, C., 2007, Proceedings of the 20th Annual Conference on Learning Theory. Springer, p. 454-468
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Research Portal

Research output

Combining Classifiers for Improved Multilabel Image Classification

Combining Classifiers for Improved Multilabel Image Classification

A new PAC bound for intersection-closed concept classes

Online Regret Bounds for a New Reinforcement Learning Algorithm

A Boosting Approach to Multiple Instance Learning

Empirical evaluation of a new online reinforcement learning algorithm

A boosting approach to multiple-instance learning

A New PAC-bound for Intersection-closed Concept Classes

Near-optimal Regret Bounds for Reinforcement Learning

Improved Rates for the Stochastic Continuum-Armed Bandit Problem

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