1439 search results - page 3 / 288 » Bagging with Adaptive Costs |
ICANN
2003
Springer
13 years 10 months ago
2003
Springer
Combining machine learning models is a means of improving overall accuracy.Various algorithms have been proposed to create aggregate models from other models, and two popular examp...
NPL
2006
13 years 5 months ago
2006
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...
JMLR
2010
13 years 2 days 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...
WWW
2005
ACM
14 years 6 months ago
2005
ACM
This paper describes the eBag infrastructure, which is a generic infrastructure inspired from work with school children who could bene t from a electronic schoolbag for collaborat...
ICCV
2003
IEEE
14 years 7 months ago
2003
IEEE
We present a computational framework capable of labeling the effort of an action corresponding to the perceived level of exertion by the performer (low ? high). The approach initi...