Michaël Perrot
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Boosting
Boosting for Comparison-Based Learning
We consider the problem of classification in a comparison-based setting: given a set of objects, we only have access to triplet comparisons of the form "object $x\_i$ is closer to object $x\_j$ than to object $x\_k$.'' In this paper we introduce …
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