MCS
2007
Springer
13 years 10 months ago
2007
Springer
Rotation Forest is a recently proposed method for building classifier ensembles using independently trained decision trees. It was found to be more accurate than bagging, AdaBoost...
MCS
2007
Springer
13 years 10 months ago
2007
Springer
The serial fusion of multiple biometric traits for personal identity verification has been poorly investigated so far. However, this approach exhibits some potential advantages, fo...
MCS
2007
Springer
13 years 10 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...
MCS
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. A new theoretical framework for the analysis of linear combiners is presented in this paper. This framework extends the scope of previous analytical models, and provides ...
MCS
2007
Springer
13 years 10 months ago
2007
Springer
Classifier combining rules are designed for the fusion of the results from the component classifiers in a multiple classifier system. In this paper, we firstly propose a theoretica...