147 search results - page 9 / 30 » Agnostic Learning with Ensembles of Classifiers |
CBMS
2008
IEEE
13 years 10 months ago
2008
IEEE
In the real world concepts are often not stable but change over time. A typical example of this in the biomedical context is antibiotic resistance, where pathogen sensitivity may ...
MCS
2007
Springer
14 years 2 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 9 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 2 months 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
14 years 10 days 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...