54 search results - page 7 / 11 » A Comparison of the Bagging and the Boosting Methods Using t... |
ACL
2006
13 years 9 months ago
2006
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
CAEPIA
2003
Springer
14 years 24 days ago
2003
Springer
A new method for ensemble generation is presented. It is based on grouping the attributes in dierent subgroups, and to apply, for each group, an axis rotation, using Principal Com...
CEC
2009
IEEE
13 years 11 months ago
2009
IEEE
—When performing predictive data mining, the use of ensembles is known to increase prediction accuracy, compared to single models. To obtain this higher accuracy, ensembles shoul...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...