A Novel Genetic Programming Based Approach for Classification Problems

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{conf/iciap/CordellaSFM05,

• title = "A Novel Genetic Programming Based Approach for Classification Problems",
• author = "Luigi P. Cordella and Claudio {De Stefano} and Francesco Fontanella and Angelo Marcelli",
• year = "2005",
• pages = "727--734",
• editor = "Fabio Roli and Sergio Vitulano",
• publisher = "Springer",
• series = "Lecture Notes in Computer Science",
• volume = "3617",
• booktitle = "Proceedings 13th International Conference Image Analysis and Processing - ICIAP 2005",
• address = "Cagliari, Italy",
• month = sep # " 6-8",
• bibdate = "2006-02-09",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/iciap/iciap2005.html#CordellaSFM05",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-28869-4",
• DOI = "doi:10.1007/11553595_89",
• size = "8 pages",
• abstract = "A new genetic programming based approach to classification problems is proposed. Differently from other approaches, the number of prototypes in the classifier is not a priori fixed, but automatically found by the system. In fact, in many problems a single class may contain a variable number of subclasses. Hence, a single prototype, may be inadequate to represent all the members of the class. The devised approach has been tested on several problems and the results compared with those obtained by a different genetic programming based approach recently proposed in the literature.",

}

Genetic Programming entries for Luigi Pietro Cordella Claudio De Stefano Francesco R Fontanella Angelo Marcelli

Citations