Predictions as statements and decisions

Authors:
Vladimir Vovk
Affiliations:
Computer Learning Research Centre, Department of Computer Science, Royal Holloway, University of London, Egham, Surrey, UK
Venue:
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Year:
2006

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Non-asymptotic calibration and resolution

Theoretical Computer Science
Leading strategies in competitive on-line prediction

Theoretical Computer Science
Leading strategies in competitive on-line prediction

ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory

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Abstract

Prediction is a complex notion, and different predictors (such as people, computer programs, and probabilistic theories) can pursue very different goals. In this talk I will review some popular kinds of prediction and argue that the theory of competitive on-line learning can benefit from the kinds of prediction that are now foreign to it.