Complementary dual detectors for effective classification

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dc.contributor.authorCeong, HTko
dc.contributor.authorKim, YIko
dc.contributor.authorLee, Dko
dc.contributor.authorLee, Kwang-Hyungko
dc.date.accessioned2013-03-04T23:06:43Z-
dc.date.available2013-03-04T23:06:43Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2003-
dc.identifier.citationARTIFICIAL IMMUNE SYSTEMS, PROCEEDINGS BOOK SERIES: LECTURE NOTES IN COMPUTER SCIENCE, v.2787, pp.242 - 248-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10203/84454-
dc.description.abstractIn this paper we introduce a method of using a pair of complementary negative detectors. When both self and non-self antigens are given, we can build a pair of complementary negative detectors using self and non-self antigens respectively and augment the results given by the detectors. When self or non-self antigens change over time, antibodies of a negative detector that gives a false positive error for the change, are used to fill the holes of the other negative detector giving a false negative error. They try to adapt to the change in complementary ways.-
dc.languageEnglish-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.titleComplementary dual detectors for effective classification-
dc.typeArticle-
dc.identifier.wosid000186048900023-
dc.identifier.scopusid2-s2.0-35248867918-
dc.type.rimsART-
dc.citation.volume2787-
dc.citation.beginningpage242-
dc.citation.endingpage248-
dc.citation.publicationnameARTIFICIAL IMMUNE SYSTEMS, PROCEEDINGS BOOK SERIES: LECTURE NOTES IN COMPUTER SCIENCE-
dc.contributor.localauthorLee, Kwang-Hyung-
dc.contributor.nonIdAuthorCeong, HT-
dc.contributor.nonIdAuthorKim, YI-
dc.contributor.nonIdAuthorLee, D-
dc.type.journalArticleArticle; Proceedings Paper-
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