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    IEEE
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    Optimizing estimated loss reduction for active sampling in rank learning
    14 years 5 months ago
    Optimizing estimated loss reduction for active sampling in rank learning
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    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 insta...
    Pinar Donmez, Jaime G. Carbonell
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