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EUROCOLT
1999
Springer
14 years 2 months ago
Averaging Expert Predictions
We consider algorithms for combining advice from a set of experts. In each trial, the algorithm receives the predictions of the experts and produces its own prediction. A loss func...
Jyrki Kivinen, Manfred K. Warmuth
ICML
2005
IEEE
14 years 10 months ago
Using additive expert ensembles to cope with concept drift
We consider online learning where the target concept can change over time. Previous work on expert prediction algorithms has bounded the worst-case performance on any subsequence ...
Jeremy Z. Kolter, Marcus A. Maloof
ECIR
2011
Springer
13 years 1 months ago
A User-Oriented Model for Expert Finding
Expert finding addresses the problem of retrieving a ranked list of people who are knowledgeable on a given topic. Several models have been proposed to solve this task, but so far...
Elena Smirnova, Krisztian Balog
ICCV
2009
IEEE
15 years 2 months ago
Deformable Model Fitting with a Mixture of Local Experts
Local experts have been used to great effect for fitting deformable models to images. Typically, the best location in an image for the deformable model’s landmarks are found t...
Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn
ALT
2004
Springer
14 years 6 months ago
Prediction with Expert Advice by Following the Perturbed Leader for General Weights
When applying aggregating strategies to Prediction with Expert Advice, the learning rate must be adaptively tuned. The natural choice of complexity/current loss renders the analys...
Marcus Hutter, Jan Poland