Multiple-instance learning: Difference between revisions

Revision as of 22:26, 12 June 2011

Revision as of 02:04, 20 December 2011

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{{orphan|date=December 2007}}

'''Multiple-instance learning''' is a variation on [[supervised learning]]. Instead of receiving a set of instances which are labeled positive or negative, the learner receives a set of ''bags'' that are labeled positive or negative. Each bag contains many instances. A bag is labeled negative if all the instances in it are negative. On the other hand, a bag is labeled positive if there is at least one instance in it which is positive. From a collection of labeled bags, the learner tries to induce a concept that will label individual instances correctly.