157 search results - page 8 / 32 » Immune Network based Ensembles |
ICONIP
2008
13 years 8 months ago
2008
Abstract. The concept of Ensemble Learning has been shown to increase predictive power over single base learners. Given the bias-variancecovariance decomposition, diversity is char...
MOBIHOC
2008
ACM
14 years 7 months ago
2008
ACM
Because of cost and resource constraints, sensor nodes do not have a complicated hardware architecture or operating system to protect program safety. Hence, the notorious buffer-o...
IWANN
2005
Springer
14 years 26 days ago
2005
Springer
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
The paper presents an approach based on principles of immune systems to the anomaly detection problem. Flexibility and efficiency of the anomaly detection system are achieved by b...
ICDAR
2003
IEEE
14 years 20 days ago
2003
IEEE
Feature selection for ensembles has shown to be an effective strategy for ensemble creation. In this paper we present an ensemble feature selection approach based on a hierarchica...