Information Technology Reference
In-Depth Information
8. Stibor, T., Timmis, J., Eckert, C.: Generalization regions in hamming negative
selection. In: Intelligent Information Processing and Web Mining. Advances in
Soft Computing, Springer-Verlag (2006) 447-456
9. Hofmeyr, S., Forrest, S.: Architecture for an artificial immune system. Evolutionary
Computation 8 (2000) 443-473
10. de Castro, L.N., Timmis, J.: Artificial Immune Systems: A New Computational
Intelligence Approach. Springer Verlag (2002)
11. Perelson, A.S., Oster, G.: Theoretical studies of clonal selection: minimal antibody
repertoire size and reliability of self-nonself discrimination.
In: J. Theor. Biol.
Volume 81. (1979) 645-670
12. Percus, J.K., Percus, O.E., Perelson, A.S.: Predicting the size of the T-cell receptor
and antibody combining region from consideration of ecient self-nonself discrim-
ination. Proceedings of National Academy of Sciences USA 90 (1993) 1691-1695
13. Balthrop, J., Esponda, F., Forrest, S., Glickman, M.: Coverage and generalization
in an artificial immune system. In: GECCO 2002: Proceedings of the Genetic and
Evolutionary Computation Conference, New York, Morgan Kaufmann Publishers
(2002) 3-10
14. Esponda, F., Forrest, S., Helman, P.: A formal framework for positive and negative
detection schemes. IEEE Transactions on Systems, Man and Cybernetics Part B:
Cybernetics 34 (2004) 357-373
15. D'haeseleer, P., Forrest, S., Helman, P.: An immunological approach to change
detection: algorithms, analysis, and implications. In: Proceedings of the 1996 IEEE
Symposium on Research in Security and Privacy, IEEE Computer Society, IEEE
Computer Society Press (1996) 110-119
16. Gonzalez, F., Dasgupta, D., Nino, L.F.: A randomized real-valued negative selec-
tion algorithm. In: Proceedings of the 2nd International Conference on Artificial
Immune Systems (ICARIS). Volume 2787 of Lecture Notes in Computer Science.,
Edinburgh, UK, Springer-Verlag (2003) 261-272
17. Knuth, D.E.: The Art of Computer Programming. third edn. Volume 1. Addison-
Wesley (2002)
18. Gonzalez, F., Dasgupta, D., Gomez, J.: The effect of binary matching rules in
negative selection. In: Genetic and Evolutionary Computation - GECCO-2003.
Volume 2723 of Lecture Notes in Computer Science., Chicago, Springer-Verlag
(2003) 195-206
19. Tax, D.M.J.: One-class classification. PhD thesis, Technische Universiteit Delft
(2001)
20. Ratsch, G.: Benchmark repository (1998)
http://ida.first.fraunhofer.de/projects/bench/benchmarks.htm.
Search WWH ::




Custom Search