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Titlebook: Artificial Immune Systems; 9th International Co Emma Hart,Chris McEwan,Andy Hone Conference proceedings 2010 Springer-Verlag Berlin Heidelb

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31#
發(fā)表于 2025-3-26 22:38:13 | 只看該作者
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發(fā)表于 2025-3-27 05:05:52 | 只看該作者
On the Benefits of Aging and the Importance of Details make aging useful, and implementation details. While implementation details seem to be the least important part they can have a surprisingly huge impact. This is proven by means of theoretical analysis for a carefully constructed example problem as well as thorough experimental investigations of aging for this problem.
33#
發(fā)表于 2025-3-27 06:42:51 | 只看該作者
Classifying in the Presence of Uncertainty: A DCA Perspective paper presents a discussion about the role of uncertainty within classification tasks and goes on to identify the strengths and weaknesses of the dendritic cell algorithm from this perspective. By examining other techniques for protecting against uncertainty, future directions for the dendritic cell algorithm are identified and discussed.
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發(fā)表于 2025-3-27 10:26:21 | 只看該作者
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發(fā)表于 2025-3-27 16:49:52 | 只看該作者
,Erl?uterung des Forschungsvorhabens,from host cell to a cell that is able to kill intracellular .. This process of activation is regulated by cytokines (notably IFN.) produced by many different types of leukocytes, including natural killer (NK) cells ([1]), CD4. and CD8. T cells ([2]), and NKT cells ([3]).
36#
發(fā)表于 2025-3-27 21:32:01 | 只看該作者
Verfahren zur Mittelwertbildung,ence. Experiments on real data sets show that by alleviating the crisp separation between the two contexts, our new approach which focuses on binary classification problems produces more accurate results.
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發(fā)表于 2025-3-27 23:13:22 | 只看該作者
38#
發(fā)表于 2025-3-28 04:31:00 | 只看該作者
39#
發(fā)表于 2025-3-28 08:19:50 | 只看該作者
FDCM: A Fuzzy Dendritic Cell Methodence. Experiments on real data sets show that by alleviating the crisp separation between the two contexts, our new approach which focuses on binary classification problems produces more accurate results.
40#
發(fā)表于 2025-3-28 12:06:22 | 只看該作者
GAIS: A Gaussian Artificial Immune System for Continuous Optimizationion is carried out using a Gaussian mixture model. The algorithms were applied to eight benchmarks and the results compared with those produced by an immune-inspired algorithm and an estimation of distribution algorithm.
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