Immune network based ensembles

ESANN 2006 Proceedings - European Symposium on Artificial Neural Networks

Volumn , Issue , 2006, Pages 437-442

  García Pedrajas, Nicolás ^a   Fyfe, Colin ^b  

^a UNIVERSITY OF CÓRDOBA   (Spain)

^b UNIVERSITY OF THE WEST OF SCOTLAND   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COGNITIVE SYSTEMS;

ARTIFICIAL IMMUNE SYSTEM; BASE CLASSIFIERS; ENSEMBLE CONSTRUCTION; ENSEMBLE OF CLASSIFIERS; ENSEMBLES OF CLASSIFIERS; GENERALIZATION ERROR; IMMUNE NETWORK THEORY; UCI MACHINE LEARNING REPOSITORY;

NEURAL NETWORKS;

EID: 33847405162     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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2. S. Dzeroski and B. Zenko. Is combining classifiers with stacking better than selecting the best one? Machine Learning, 54:255-273, 2004.
3. D. Dasgupta. Artificial Immune Systems and their Applications. Springer-Verlag, 2000.
4. K. N. Jerne. Towards a network theory of the immune system. Annals of Immunology, 125C:373-389, 1974.
5. E. Bauer and R. Kohavi. An empirical comparison of voting classification algorithms: Bagging, boosting, and variants. Machine Learning, 36(1/2):105-142, July/August 1999.
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8. N. García-Pedrajas and C. Fyfe. Nonlinear”boosting” projections for ensemble construction. Journal of Machine Learning Research, 2005. (submitted).