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Forget knowledge distillation and privileged features – EDSVMs offer a margin-aligned way to inject structured preferences and benchmark models directly into SVM training.
Ignoring the rank information in maxima nominated samples can lead to substantial performance degradation in fractionally supervised classification, a problem this paper elegantly solves with a new EM algorithm.
