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GECCO
2005
Springer
113views Optimization» more  GECCO 2005»
13 years 10 months ago
Estimating the detector coverage in a negative selection algorithm
This paper proposes a statistical mechanism to analyze the detector coverage in a negative selection algorithm, namely a quantitative measurement of a detector set’s capability ...
Zhou Ji, Dipankar Dasgupta
ICARIS
2003
Springer
13 years 10 months ago
A Randomized Real-Valued Negative Selection Algorithm
This paper presents a real-valued negative selection algorithm with good mathematical foundation that solves some of the drawbacks of our previous approach [11]. Specifically, it ...
Fabio A. González, Dipankar Dasgupta, Luis ...
GECCO
2005
Springer
121views Optimization» more  GECCO 2005»
13 years 10 months ago
An evolutionary algorithm to generate hyper-ellipsoid detectors for negative selection
This paper introduces hyper-ellipsoids as an improvement to hyper-spheres as intrusion detectors in a negative selection problem within an artificial immune system. Since hyper-s...
Joseph M. Shapiro, Gary B. Lamont, Gilbert L. Pete...
EC
2007
101views ECommerce» more  EC 2007»
13 years 4 months ago
Revisiting Negative Selection Algorithms
This paper reviews the progress of negative selection algorithms, an anomaly/change detection approach in Artificial Immune Systems (AIS). Following its initial model, we try to ...
Zhou Ji, Dipankar Dasgupta
GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
13 years 9 months ago
Negative selection algorithms without generating detectors
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
Maciej Liskiewicz, Johannes Textor