Abstract

An algorithm of polynomial complexity is proposed that produces an optimal task encoder for tasks that are generated according to some given law and that need to be described using a given number of labels. It thus minimizes the expectation (or ρ-th moment) of the number of tasks that share the label of a randomly-generated task.