MILA - Multilevel Immune Learning Algorithm

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2723, Issue , 2003, Pages 183-194

  Dasgupta, Dipankar ^a   Yu, Senhua ^a   Majumdar, Nivedita Sumi ^a  

^a University of Memphis   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BIOLOGICAL ORGANS; CALCULATIONS; COMPLEX NETWORKS; EVOLUTIONARY ALGORITHMS; IMMUNE SYSTEM; PATTERN RECOGNITION; T-CELLS;

BIOLOGICAL IMMUNE SYSTEM; CHEMICAL MOLECULES; CLONAL EXPANSION; DYNAMIC DETECTORS; GENERATION MECHANISM; HUMORAL IMMUNE RESPONSE; MULTILEVEL IMMUNE LEARNING; MULTIPLE DETECTION;

LEARNING ALGORITHMS;

EID: 33745892717     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45105-6_24     Document Type: Article

References (11)

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8. Keogh, E., Folias, T.: The UCR Time Series Data Mining Archive [http://www.cs.ucr.edu/∼eamonn/TSDMA/index.html]. Riverside CA. University of California - Computer Science & Engineering Department. (2002)
9. D'haeseleer, P., Forrest, S., Helman, P.: An immunological approach to change detection: algorithms, analysis, and implications. Proceedings of the 1996 IEEE Symposium on Computer Security and Privacy, IEEE Computer Society Press, Los Alamitos, CA, (1996) 110-119
10. de Castro, L. N., Von Zuben, F. J.: Learning and optimization using the clonal selection principle. IEEE Transactions on Evolutionary Computation 6(3) (2002) 239-251
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