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Optimizing Estimated Loss Reduction for Active Sampling in Rank Learning

Published on 2008-08-295087 Views

Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of instances in the input spa

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