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Showing 1 to 1 of 1 for “"model change detection"”.
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Information-theoretic bounds in learning algorithms
… unlabeled data pool, and the adaptation to the change is achieved by utilizing the information acquired in previous steps. The goal is to satisfy a pre-specified bound on the excess risk at each time-step. More specifically, the design of the active querying algorithm is based on minimizing the …