264 search results - page 10 / 53 » Ensemble Learning of Regional Classifiers |
MCS
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. We describe an ensemble of classifiers based algorithm for incremental learning in nonstationary environments. In this formulation, we assume that the learner is presente...
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...
IUI
2005
ACM
14 years 28 days ago
2005
ACM
XML has emerged as the primary standard of data representation and data exchange [13]. Although many software tools exist to assist the XML implementation process, data must be ma...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
MCS
2010
Springer
13 years 5 months ago
2010
Springer
Multilabel classification is a challenging research problem in which each instance is assigned to a subset of labels. Recently, a considerable amount of research has been concerned...