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In this paper, we discuss round robin classification (aka pairwise classification), a technique for handling multi-class problems with binary classifiers by learning one classifier for each pair of(More)
Combining practical relevance with novel types of prediction problems, the learning from/of preferences has recently received a lot of attention in the machine learning literature. Like other types(More)