32 search results - page 1 / 7 » Dependency Bagging |
ECML
2003
Springer
13 years 10 months ago
2003
Springer
In traditional multi-instance (MI) learning, a single positive instance in a bag produces a positive class label. Hence, the learner knows how the bag’s class label depends on th...
RSFDGRC
2005
Springer
13 years 10 months ago
2005
Springer
In this paper, a new variant of Bagging named DepenBag is proposed. This algorithm obtains bootstrap samples at first. Then, it employs a causal discoverer to induce from each sam...
ICIP
2009
IEEE
13 years 2 months ago
2009
IEEE
Currently, the bag of visual words (BOW) representation has received wide applications in object categorization. However, the BOW representation ignores the dependency relationshi...
SSPR
2000
Springer
13 years 8 months ago
2000
Springer
To improve weak classifiers bagging and boosting could be used. These techniques are based on combining classifiers. Usually, a simple majority vote or a weighted majority vote are...
EMMCVPR
2011
Springer
12 years 4 months ago
2011
Springer
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...