Projects per year
Abstract
We show that the Brier game of prediction is mixable and find the optimal learning rate and substitution function for it. The resulting prediction algorithm is applied to predict results of football and tennis matches. The theoretical performance guarantee turns out to be rather tight on these datasets, especially in the case of the more extensive tennis data.
Original language | English |
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Publication status | Published - 2 Oct 2007 |
Keywords
- cs.LG
Projects
- 1 Finished
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PCP: Practical Competitive Prediction
Vovk, V. (PI), Gammerman, A. (CoI), Kalnishkan, Y. (CoI), Chernov, A. (CoI) & Zhdanov, F. (CoI)
Eng & Phys Sci Res Council EPSRC
10/10/07 → 22/11/10
Project: Research