On Classification with Bags, Groups and Sets

2 Jun 2014Veronika CheplyginaDavid M. J. TaxMarco Loog

Many classification problems can be difficult to formulate directly in terms of the traditional supervised setting, where both training and test samples are individual feature vectors. There are cases in which samples are better described by sets of feature vectors, that labels are only available for sets rather than individual samples, or, if individual labels are available, that these are not independent... (read more)

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