421 search results - page 1 / 85 » Reducing Label Complexity by Learning From Bags |
136
Voted
JMLR
2010
14 years 10 months ago
2010
We consider a supervised learning setting in which the main cost of learning is the number of training labels and one can obtain a single label for a bag of examples, indicating o...
140
Voted
ICDM
2008
IEEE
15 years 10 months ago
2008
IEEE
We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) op...
206
Voted
ECCV
2010
Springer
15 years 8 months ago
2010
Springer
139
Voted
NIPS
1997
15 years 4 months ago
1997
Multiple-instance learning is a variation on supervised learning, where the task is to learn a concept given positive and negative bags of instances. Each bag may contain many ins...
123
Voted
NIPS
2007
15 years 5 months ago
2007
We present a framework for active learning in the multiple-instance (MI) setting. In an MI learning problem, instances are naturally organized into bags and it is the bags, instea...