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Optimal Weighting of Training Data in Adaptive Coding
Adaptive coders are commonly primed with training data, turned into context tables or shipped dictionaries. The training data generally do not match the source being encoded, and the coder must decide how much to trust them. We make that trust a design variable: a Krichevsky--Trofimov (KT) estimator
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