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most citedA Note on the Compaction of long Training Sequences for Universal Classification -a Non-Probabilistic Approach

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cs.IT2009

On the optimality of universal classifiers for finite-length individual test sequences

Jacob Ziv

We consider pairs of finite-length individual sequences that are realizations of unknown, finite alphabet, stationary sources in a clas M of sources with vanishing memory (e.g. sta…