In 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. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Ceong, H. T., Kim, Y. I., Lee, D., & Lee, K. H. (2003). Complementary dual detectors for effective classification. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2787, 242–248. https://doi.org/10.1007/978-3-540-45192-1_23
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