Genetic Programming for Combining Classifiers

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{langdon:2001:gROC,

• title = "Genetic Programming for Combining Classifiers",
• author = "W. B. Langdon and B. F. Buxton",
• pages = "66--73",
• year = "2001",
• publisher = "Morgan Kaufmann",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001)",
• editor = "Lee Spector and Erik D. Goodman and Annie Wu and W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and Sandip Sen and Marco Dorigo and Shahram Pezeshk and Max H. Garzon and Edmund Burke",
• address = "San Francisco, California, USA",
• publisher_address = "San Francisco, CA 94104, USA",
• month = "7-11 " # jul,
• keywords = "genetic algorithms, genetic programming, data fusion, data mining, knowledge discovery, Receiver Operating Characteristics, ensemble of classifiers, size fair crossover",
• ISBN = "1-55860-774-9",
• URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/WBL_gecco2001_roc.pdf",
• URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/WBL_gecco2001_roc.ps.gz",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco2001/d01.pdf",
• size = "8 pages",
• abstract = "Genetic programming (GP) can automatically fuse given classifiers to produce a combined classifier whose Receiver Operating Characteristics (ROC) are better than scott:1998:BMVC ``Maximum Realisable Receiver Operating Characteristics'' (MRROC). I.e. better than their convex hull. This is demonstrated on artificial, medical and satellite image processing bench marks.",
• notes = "GECCO-2001 A joint meeting of the tenth International Conference on Genetic Algorithms (ICGA-2001) and the sixth Annual Genetic Programming Conference (GP-2001) Part of \cite{spector:2001:GECCO}",

}

Genetic Programming entries for William B Langdon Bernard Buxton

Citations