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Titlebook: Artificial Intelligence and Neural Networks; 14th Turkish Symposi F. Acar Savacı Conference proceedings 2006 Springer-Verlag Berlin Heidelb

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,Leavis and Pedagogy: Critical ‘Theory’,ning technique to an artificial immune system. Our implicit interest is a network intrusion detection, and we assume data floating in the . are normal while ones found on the . are abnormal. Our goal here is twofold. One is to know (i) . The other is to study (ii) ., when we decrease the size of the
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https://doi.org/10.1057/9781403919267thm to estimate the distribution of the input image and the number of the components is automatically determined by the . (MML) algorithm. Then the segmentation is done by the Iterated Conditional Modes (ICM) algorithm. For testing the segmentation performance, we use both artificial images and real
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https://doi.org/10.1007/11803089artificial intelligence; classification; fuzzy; fuzzy logic; image processing; intelligence; learning; lear
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978-3-540-36713-0Springer-Verlag Berlin Heidelberg 2006
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