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Sztuczne systemy immunologiczne (ang. AIS - Artificial Immune System) to dynamicznie rozwijająca się dziedzina, szczególnie w ostatniej dekadzie, w ramach której powstają algorytmy inspirowane działaniem narządów tworzących układy odpornościowe (ang. NIS - Nature Immune System). Ich poziom skomplikowania może być porównywany jedynie z systemem nerwowym. Pomimo braku kompletnej wiedzy na temat roli...
This paper presents an immune-based approach to recognition of handwritten words, or more generally, to binary classification. It is inspired by the negative selection mechanism attending the discrimination between self and nonself molecules in living organisms. Our approach incorporates two types of detectors: binary and real-valued. Relatively short binary detectors are used for primary detection,...
This paper presents an immune-based approach to problem of binary classification and novelty detection in high-dimensional datasets. It is inspired by the negative selection mechanism, which discriminates between self and nonself elements using only partial information. Our approach incorporates two types of detectors: binary and real-valued. Relatively short binary receptors are used for primary...
One of the intriguing applications of immune-inspired negative selection algorithm is anomaly detection in the datasets. Such a detection is based on the self/nonself discrimination and its characteristic feature is the ability of detecting nonself samples (anomalies) by using only information about the self or regular, samples. Thus the problem space (Universe) is splitted into two disjoint subspaces:...
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