@inproceedings{a854d9e2659f4702ab03682e920d4aa2,
title = "On the use of hyperspheres in artificial immune systems as antibody recognition regions",
abstract = "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.",
keywords = "false alarm rate, anomaly detection, repertoire size, Monte Carlo integration, unitary hypercube",
author = "Thomas Stibor and Jonathan Timmis and Claudia Eckert",
year = "2006",
doi = "10.1007/11823940_17",
language = "English",
isbn = "3540377492",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "215--228",
editor = "Hugues Bersini and Jorge Carneiro",
booktitle = "Artificial Immune Systems - 5th International Conference, ICARIS 2006. Proceedings",
address = "Switzerland",
note = "5th International Conference on Artificial Immune Systems, ICARIS 2006 ; Conference date: 04-09-2006 Through 06-09-2006",
}