Evolutionary Algorithm to Generate Ellipsoid Detectors for Negative Selection

Name: Evolutionary Algorithm to Generate Ellipsoid Detectors for Negative Selection
Brand: Biblioscholar
SKU: 9781288395880
Price: 1256 CZK
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Autor: Joseph M Shapiro

Jazyk:

Vazba: Brožovaná

Vydavatel: Biblioscholar

Dostupnost: Skladem u dodavatele

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1 256 Kč

Negative selection is a process from the biological immune system that can be applied to two-class (...

Informace o knize

Autor

Joseph M Shapiro

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2012

Stránek

162

EAN

9781288395880

ISBN

9781288395880

Enbook ID

08249273

Vydavatel

Biblioscholar

Hmotnost

299

Rozměry

189 x 246 x 9

Kompletní popis

Negative selection is a process from the biological immune system that can be applied to two-class (self and nonself) classification problems. Negative selection uses only one class (self) for training, which results in detectors for the other class (nonself). This paradigm is especially useful for problems in which only one class is available for training, such as network intrusion detection. Previous work has investigated hyper-rectangles and hyper-spheres as geometric detectors. This work proposes ellipsoids as geometric detectors. First, we establish a mathematical model for ellipsoids. We develop an algorithm to generate ellipsoids by training on only one class of data. Ellipsoid mutation operators, an objective function, and a convergence technique are described for the evolutionary algorithm that generates ellipsoid detectors.

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Evolutionary Algorithm to Generate Ellipsoid Detectors for Negative Selection

Informace o knize

Kompletní popis

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