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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| Format: | Conference item |
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AUAI Press
2005
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