The weak aggregating algorithm and weak mixability

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This paper resolves the problem of predicting as well as the best expert up to an additive term of the order o(n), where n is the length of a sequence of letters from a finite alphabet. We call the games that permit this weakly mixable and give a geometrical characterisation of the class of weakly mixable games. Weak mixability turns out to be equivalent to convexity of the finite part of the set of superpredictions. For bounded games we introduce the Weak Aggregating Algorithm that allows us to obtain additive terms of the form Cn.

论文关键词:On-line learning,Predicting individual sequences,Prediction with expert advice,General loss functions

论文评审过程:Received 10 July 2006, Revised 15 June 2007, Available online 29 August 2007.

论文官网地址:https://doi.org/10.1016/j.jcss.2007.08.003