@inproceedings{e372ddf2c6234d2dae45ce41ce443ad4,
title = "Comments on real-valued negative selection vs. real-valued positive selection and one-class SVM",
abstract = "Real-valued negative selection (RVNS) is an immune-inspired technique for anomaly detection problems. It has been claimed that this technique is a competitive approach, comparable to statistical anomaly detection approaches such as one-class Support Vector Machine. Moreover, it has been claimed that the complementary approach to RVNS, termed real-valued positive selection, is not a realistic solution. We investigate these claims and show that these claims can not be sufficiently supported.",
keywords = "support vector machines, detectors, phase detection, immune system, support vector machine classification, pattern classification, proteins, automatic testing, machine learning, computer science",
author = "Thomas Stibor and Jonathan Timmis",
year = "2007",
doi = "10.1109/CEC.2007.4424956",
language = "English",
isbn = "1424413400",
series = "2007 IEEE Congress on Evolutionary Computation, CEC 2007",
publisher = "IEEE Press",
pages = "3727--3734",
booktitle = "2007 IEEE Congress on Evolutionary Computation, CEC 2007",
address = "United States of America",
note = "2007 IEEE Congress on Evolutionary Computation, CEC 2007 ; Conference date: 25-09-2007 Through 28-09-2007",
}