2898 search results - page 15 / 580 » Ensemble Methods in Machine Learning |
TKDE
2012
11 years 10 months ago
2012
—Online learning algorithms often have to operate in the presence of concept drifts. A recent study revealed that different diversity levels in an ensemble of learning machines a...
ECML
2004
Springer
14 years 1 months ago
2004
Springer
MCS
2001
Springer
14 years 5 days ago
2001
Springer
Using an ensemble of classifiers instead of a single classifier has been shown to improve generalization performance in many machine learning problems [4, 16]. However, the exten...
IJON
2006
13 years 7 months ago
2006
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Properties of ensemble classification can be studied using the framework of Monte Carlo stochastic algorithms. Within this framework it is also possible to define a new ensemble c...