We present an empirical investigation of the generalization capability of the Hamming negative selection, when combined with the r-chunk affinity metric. Our ...

Abstract Negative selection is an immune-inspired algorithm which is typically applied to anomaly detection problems. We present an empirical investigation ...

We present an empirical investigation of the generalization capability of the Hamming negative selection, when combined with the r-chunk affinity metric. Our ...

We present an empirical investigation of the generalization capability of the Hamming negative selection, when combined with the r-chunk affinity metric. Our ...

Thomas Stibor, Jonathan Timmis , Claudia Eckert: Generalization Regions in Hamming Negative Selection. Intelligent Information Systems 2006: 447-456.

Authors: Thomas Stibor, J. Timmis, and Claudia Eckert. Year/month: 2006/6. Booktitle: Intelligent Information Systems (IIS-2006).

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Permutation masks were proposed for reducing the number of holes in Hamming negative selection when applying the r-contiguous or r-chunk matching rule.

Stibor, T. ; Timmis, J. ; Eckert, C. (2006) Generalization Regions in Hamming Negative Selection. In: Intelligent information processing and web mining ...

In this paper the classical Hamming network is generalized in various ways. First, for the Hamming maxnet, a generalized model is proposed.