421 search results - page 2 / 85 » Reducing Label Complexity by Learning From Bags |
ICTAI
2003
IEEE
13 years 10 months ago
2003
IEEE
In multi-instance learning, the training examples are bags composed of instances without labels and the task is to predict the labels of unseen bags through analyzing the training...
JCST
2006
13 years 5 months ago
2006
Abstract In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. This pa...
AAAI
2010
13 years 3 months ago
2010
Multi-instance learning, as other machine learning tasks, also suffers from the curse of dimensionality. Although dimensionality reduction methods have been investigated for many ...
PAMI
2006
13 years 5 months ago
2006
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
ECML
2003
Springer
13 years 10 months ago
2003
Springer
In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. Through analyzin...