3 search results - page 1 / 1 » Predicting rare classes: can boosting make any weak learner ... |
KDD
2002
ACM
14 years 5 months ago
2002
ACM
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
DIS
2009
Springer
13 years 11 months ago
2009
Springer
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...