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Genetic Programming for Improved Receiver Operating Characteristics

Second International Conference on Multiple Classifier System, 2096: 68--77, 2001.
Authors: W. B. Langdon and B. F. Buxton
Editors: Josef Kittler and Fabio Roli
URL: http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2096&spage=68
Tags: Characteristics, Operating Receiver algorithms, classifiers, cost cost-sensitive, crossover, data discovery, ensemble fair fusion, genetic knowledge mining, non-uniform of off, penalty programming, size trade
Abstract: Genetic programming (GP) can automatically fuse given classifiers to produce a combined classifier whose Receiver Operating Characteristics (ROC) are better than [Scott et al. 1998]'s 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.
| URL | BibTeX  
@inproceedings{langdon:2001:mcs,
title = {Genetic Programming for Improved Receiver Operating Characteristics},
address = {Cambridge},
author = {W. B. Langdon and B. F. Buxton},
booktitle = {Second International Conference on Multiple Classifier System},
editor = {Josef Kittler and Fabio Roli},
month = {2-4 July},
pages = {68--77},
publisher = {Springer Verlag},
series = {LNCS},
url = {http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2096&spage=68},
volume = {2096},
year = {2001},
abstract = {Genetic programming (GP) can automatically fuse given classifiers to produce a combined classifier whose Receiver Operating Characteristics (ROC) are better than [Scott et al. 1998]'s 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.},
size = {10 pages}, isbn = {3-540-42284-6}, notes = {http://www.diee.unica.it/mcs/ Technique in \cite{langdon:2001:gROC} used to combine different classifiers on trained on different data.},
keywords = {Characteristics, Operating Receiver algorithms, classifiers, cost cost-sensitive, crossover, data discovery, ensemble fair fusion, genetic knowledge mining, non-uniform of off, penalty programming, size trade }
}