Created by W.Langdon from gp-bibliography.bib Revision:1.4067
@InProceedings{wssec-rb-final, author = "Robert Burbidge", title = "A Contribution to the Foundations of AI: Genetic Programming and Support Vector Machines", booktitle = "Workshop and Summer School on Evolutionary Computing Lecture Series by Pioneers", year = "2008", editor = "T. M. McGinnity", address = "University of Ulster", month = "18-20 " # aug, organisation = "School of Computing and Intelligent Systems, University of Ulster", keywords = "genetic algorithms, genetic programming, SVM", URL = "http://users.aber.ac.uk/rvb/wssec-rb-final.pdf", size = "4 pages", abstract = "The aim of genetic programming is to automatically find computer programs that solve problems; using an algorithm inspired by biological evolution. The aim of the support vector machine is to model empirical data; using an algorithm based on statistical optimality. Fundamentally, both these techniques, and all artificial intelligence disciplines, use search; with differing representations, search operators and objective functions. We formally compare these two techniques as a contribution toward the foundations of artificial intelligence, and less grandiosely, in order to encourage transfer of knowledge between the two disciplines.", notes = "broken 2016 http://isel.infm.ulst.ac.uk/conference/wssec2008/ 'The search space for GP is hard'. 'The search space for the SVM is easy'. 'inherent capacity control in GP' VC-dimension.", }
Genetic Programming entries for Robert Burbidge