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...
Egile Nagusiak: | Kuck, H, de Freitas, N |
---|---|
Formatua: | Conference item |
Argitaratua: |
AUAI Press
2005
|
Antzeko izenburuak
-
Single photon sources for absolute radiometry – A review about the current state of the art
nork: Stefan Kück
Argitaratua: (2021-12-01) -
On-line individual differences in statistical learning predict language processing
nork: Jennifer B Misyak, et al.
Argitaratua: (2010-09-01) -
Machine learning renormalization group for statistical physics
nork: Wanda Hou, et al.
Argitaratua: (2023-01-01) -
Learning to Recognize Objects with Little Supervision
nork: Carbonetto, P, et al.
Argitaratua: (2008) -
The Circle of Learning: Individual and Group Processes
nork: Ernest Chang, et al.
Argitaratua: (1997-02-01)