In partial label learning, each training example is associated with a set of candidate labels among which only one is the ground-truth label. The common strategy to induce predictive model is trying ...

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Boosting has been shown to be a very effective approach to training ensemble classification models. Although they perform very well, boosting algorithms are sensitive to class-label noise (where ...

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