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- W2964038911 abstract "In ranking problems, the goal is to learn a ranking function r(x) ∈ R from labeled pairs x, x′ of input points. In this paper, we consider the related comparison problem, where the label y ∈ {−1, 0, 1} indicates which element of the pair is better, or if there is no significant difference. We cast the learning problem as a margin maximization, and show that it can be solved by converting it to a standard SVM." @default.
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- W2964038911 date "2013-11-05" @default.
- W2964038911 modified "2023-09-27" @default.
- W2964038911 title "Support vector comparison machines" @default.
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