On classification with bags, groups and sets
Many classification tasks are not entirely suitable for supervised learning. Instead of individual feature vectors, bags of feature vectors can be considered. Many learning scenarios with bags in training and/or test phase have been proposed. We provide an overview and taxonomy of these learning scenarios.
multiple instance learning set classification group-based classification label dependencies weakly labeled data