Towards a kernelbased model for artificial immune networks

This paper presents an adaptation to the strategy of kernel methods of a wellkn own artificial immune network. This adaptation brings to artificial immune systems, for the first time, some of the advantages of kernel methods, such as the ability to deal with non-vector data and the mapping to high-d...

Full description

Autores:
Galeano Hurtas, Juan Carlos
González Osorio, Fabio Augusto
Tipo de recurso:
Article of journal
Fecha de publicación:
2008
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/24332
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/24332
http://bdigital.unal.edu.co/15369/
Palabra clave:
Intelligent systems
similarity-based clustering
artificial immune Networks
kernel methods.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional