123 search results - page 1 / 25 » Multi-information Ensemble Diversity |
MCS
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. Understanding ensemble diversity is one of the most important fundamental issues in ensemble learning. Inspired by a recent work trying to explain ensemble diversity from...
WAIM
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Ensemble methods can achieve excellent performance relying on member classifiers’ accuracy and diversity. We conduct an empirical study of the relationship of ensemble...
SDM
2009
SIAM
14 years 1 months ago
2009
SIAM
Clustering ensembles has been recently recognized as an emerging approach to provide more robust solutions to the data clustering problem. Current methods of clustering ensembles ...
IDEAL
2004
Springer
13 years 10 months ago
2004
Springer
In order for a neural network ensemble to generalise properly, two factors are considered vital. One is the diversity and the other is the accuracy of the networks that comprise th...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
Most works based on diversity suggest that there exists only weak correlation between diversity and ensemble accuracy. We show that by combining the diversities with the classifica...