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...
Những tác giả chính: | Kuck, H, de Freitas, N |
---|---|
Định dạng: | Conference item |
Được phát hành: |
AUAI Press
2005
|
Những quyển sách tương tự
-
Single photon sources for absolute radiometry – A review about the current state of the art
Bằng: Stefan Kück
Được phát hành: (2021-12-01) -
Learning to Recognize Objects with Little Supervision
Bằng: Carbonetto, P, et al.
Được phát hành: (2008) -
On-line individual differences in statistical learning predict language processing
Bằng: Jennifer B Misyak, et al.
Được phát hành: (2010-09-01) -
Machine learning renormalization group for statistical physics
Bằng: Wanda Hou, et al.
Được phát hành: (2023-01-01) -
The Circle of Learning: Individual and Group Processes
Bằng: Ernest Chang, et al.
Được phát hành: (1997-02-01)