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...

詳細記述

書誌詳細
主要な著者: Kuck, H, de Freitas, N
フォーマット: Conference item
出版事項: AUAI Press 2005