Instance-level accuracy versus bag-level accuracy in multi-instance learning
Data Mining and Knowledge Discovery, Volume 30, Issue 2, 2015.
ClassificationMulti-instance learningMultiple-instance learningClassifier evaluationEvaluationMore(1+)
In multi-instance learning, instances are organized into bags, and a bag is labeled positive if it contains at least one positive instance, and negative otherwise; the labels of the individual instances are not given. The task is to learn a classifier from this limited information. While the original task description involved learning an ...More
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