School of Computing

A New Classifier Based on Resource Limited Artificial Immune Systems

Andrew Watkins and Lois Boggess

In Proceedings of Congress on Evolutionary Computation, Part of the 2002 IEEE World Congress on Computational Intelligence held in Honolulu, HI, USA, May 12-17, 2002, pages 182-196. IEEE, May 2002.

Abstract

This paper presents a new tool for supervised learning, modeled on resource limited Artificial Immune Systems. A supervised learning system, it is self-regulatory, efficient, and stable under a wide range of user-set parameters. Its performance is comparable to well-established classifiers on a variety of testbeds, including the iris data, the diabetes classification problem, the ionosphere problem, and the rock/metal classification problem for mine detection.

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Bibtex Record

@inproceedings{1509,
author = {Watkins, Andrew and Lois Boggess},
title = {A {N}ew {C}lassifier {B}ased on {R}esource {L}imited {A}rtificial {I}mmune {S}ystems},
month = {May},
year = {2002},
pages = {182-196},
keywords = {determinacy analysis, Craig interpolants},
note = {},
doi = {},
url = {http://www.cs.kent.ac.uk/pubs/2002/1509},
    publication_type = {inproceedings},
    submission_id = {19959_1031919452},
    booktitle = {Proceedings of Congress on Evolutionary Computation, Part of the 2002 IEEE World Congress on Computational Intelligence held in Honolulu, HI, USA, May 12-17, 2002},
    organization = {IEEE},
    refereed = {yes},
}

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