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Ordinal regression which aims to classify instances into ordinal categories has numerous applications. As a supervised learning problem, a large number of labeled data is needed to train an accurate model, in particular when the number of categories is large. Learning an effective ordinal classifier from a small dataset is a challenging task. This paper proposes a framework to transform the ordinal...
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