The nature of statistical learning theory
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Artificial Immune Systems: A New Computational Intelligence Paradigm
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Is negative selection appropriate for anomaly detection?
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ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
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ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
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Natural Computing: an international journal
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Knowledge-Based Systems
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Using hyperspheres as antibody recognition regions is an established abstraction which was initially proposed by theoretical immunologists for use in the modeling of antibody-antigen interactions. This abstraction is also employed in the development of many artificial immune system algorithms. Here, we show several undesirable properties of hyperspheres, especially when operating in high dimensions and discuss the problems of hyperspheres as recognition regions and how they have affected overall performance of certain algorithms in the context of real-valued negative selection.