27 search results - page 4 / 6 » MILA - Multilevel Immune Learning Algorithm |
GECCO
2005
Springer
14 years 28 days ago
2005
Springer
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
ICARIS
2005
Springer
14 years 28 days ago
2005
Springer
Abstract. This paper presents an immune-inspired adaptable error detection (AED) framework for Automated Teller Machines (ATMs). This framework two levels, one level is local to a ...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
In this paper, we show that a Bio-inspired classifier’s accuracy can be dramatically improved if it operates on intelligent features. We propose a novel set of intelligent feat...
ICARIS
2010
Springer
13 years 4 months ago
2010
Springer
In this research work a large set of the classical numerical functions were taken into account in order to understand both the search capability and the ability to escape from a lo...
GECCO
2010
Springer
14 years 6 days ago
2010
Springer
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...