%0 Conference Paper %1 Teodorescu2005 %A Teodorescu, Liliana %B IEEE Nuclear Science Symposium Conference Record %C Washington, DC, USA %D 2005 %I IEEE %K analysis computing evolutionary physics %P 143--147 %R doi:10.1109/NSSMIC.2005.1596225 %T High energy physics data analysis with gene expression programming %V 1 %X 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.

@inproceedings{Teodorescu2005, 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.}, added-at = {2010-02-01T10:33:36.000+0100}, address = {Washington, DC, USA}, author = {Teodorescu, Liliana}, biburl = {https://www.bibsonomy.org/bibtex/286912c6feeb51dc1cc890d133faf8db7/danfunky}, booktitle = {IEEE Nuclear Science Symposium Conference Record}, doi = {doi:10.1109/NSSMIC.2005.1596225}, interhash = {83cddbcae7677be4638e660c7f8ed0cc}, intrahash = {86912c6feeb51dc1cc890d133faf8db7}, keywords = {analysis computing evolutionary physics}, month = {23-29 October}, notes = {ISSN: 1082-3654 INSPEC Accession Number:8976991}, pages = {143--147}, publisher = {IEEE}, timestamp = {2010-02-01T10:33:36.000+0100}, title = {High energy physics data analysis with gene expression programming}, volume = 1, year = 2005 }