1439 search results - page 3 / 288 » Bagging with Adaptive Costs |
ICANN
2003
Springer
15 years 4 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...
118
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NPL
2006
14 years 11 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...
100
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JMLR
2010
14 years 6 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...
WWW
2005
ACM
16 years 11 days 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
16 years 1 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...