74 search results - page 2 / 15 » Ensembles of Multi-instance Learners |
IDA
2007
Springer
13 years 11 months ago
2007
Springer
In this paper, we present two ensemble learning algorithms which make use of boostrapping and out-of-bag estimation in an attempt to inherit the robustness of bagging to overfitti...
ICDM
2010
IEEE
13 years 3 months ago
2010
IEEE
Ensemble learning aims to improve generalization ability by using multiple base learners. It is well-known that to construct a good ensemble, the base learners should be accurate a...
MCS
2009
Springer
14 years 2 days ago
2009
Springer
An ensemble is generated by training multiple component learners for a same task and then combining them for predictions. It is known that when lots of trained learners are availab...
DAWAK
2006
Springer
13 years 9 months ago
2006
Springer
This paper describes problem of prediction that is based on direct marketing data coming from Nationwide Products and Services Questionnaire (NPSQ) prepared by Polish division of A...
ECCV
2006
Springer
13 years 9 months ago
2006
Springer
While learning ensembles have been widely used for various pattern recognition tasks, surprisingly, they have found limited application in problems related to medical image analysi...