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EUROCOLT
1999
Springer
13 years 9 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
CORR
2011
Springer
213views Education» more  CORR 2011»
13 years 14 days ago
Adapting to Non-stationarity with Growing Expert Ensembles
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Cl...
COLT
2008
Springer
13 years 7 months ago
Extracting Certainty from Uncertainty: Regret Bounded by Variation in Costs
Prediction from expert advice is a fundamental problem in machine learning. A major pillar of the field is the existence of learning algorithms whose average loss approaches that ...
Elad Hazan, Satyen Kale
EXPERT
2010
107views more  EXPERT 2010»
13 years 2 months ago
Learning and Predicting the Evolution of Social Networks
Björn Bringmann, Michele Berlingerio, Frances...