Assuming that the loss function is convex in the prediction, we construct a prediction strategy universal for the class of Markov prediction strategies, not necessarily continuous. Allowing randomization, we remove the requirement of convexity.
|Number of pages||11|
|Publication status||Published - 28 Jul 2006|
- machine learning
- prediction with expert advice