Learning about individuals from group statistics

We propose a new problem formulation which is similar to, but more informative than, the binary multiple-instance learning problem. In this setting, we are given groups of instances (described by feature vectors) along with estimates of the fraction of positively-labeled instances per group. The tas...

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Bibliografiska uppgifter
Huvudupphovsmän: Kuck, H, de Freitas, N
Materialtyp: Conference item
Publicerad: AUAI Press 2005