@inproceedings{Teodorescu:2005:IEEnsscr,
title = {High energy physics data analysis with gene expression
programming},
author = {Liliana Teodorescu},
booktitle = {IEEE Nuclear Science Symposium Conference Record},
month = {23-29 October},
pages = {143--147},
publisher = {IEEE},
volume = {1},
year = {2005},
abstract = {Gene expression programming is a new evolutionary
algorithm that overcomes many limitations of the more
established genetic algorithms and genetic programming.
Its first application to high energy physics data
analysis is presented. The algorithm was successfully
used for event selection on samples with both low and
high background level. The signal/background
classification accuracy was over 90percent in all
cases.},
notes = {ISSN: 1082-3654 INSPEC Accession Number:8976991}, doi = {doi:10.1109/NSSMIC.2005.1596225},
keywords = {Expression Gene Programming, algorithm, algorithms, analysis analysis, computing, data energy evolutionary expression gene genetic high instrumentation physics programming, }
}
::