31 search results - page 2 / 7 » Bagging, Boosting and the Random Subspace Method for Linear ... |
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Bagging is an ensemble method that uses random resampling of a dataset to construct models. In classification scenarios, the random resampling procedure in bagging induces some c...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
MCS
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. In adversarial classification tasks like spam filtering, intrusion detection in computer networks and biometric authentication, a pattern recognition system must not only...
MCS
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. A new optimization technique is proposed for classifiers fusion — Cooperative Coevolutionary Ensemble Learning (CCEL). It is based on a specific multipopulational evo...