Monday, January 5, 2009

 

Call for Papers - SYMBOLIC REGRESSION AND MODELING WORKSHOP

to be held as part of the
2009 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO-2009)
July 9, 2009 (Thursday)
Delta Centre-Ville
Montreal, Canada
Sponsored by ACM SIGEVO
www.sigevo.org/GECCO-2009

PAPER SUBMISSION DEADLINE FOR WORKSHOP: March 25, 2009

Workshop Website: http://www.gustafsonresearch.com/gecco2009_srm_workshop/

The workshop will focus on advances in using symbolic modeling for real world
problems in industry, economics, finance and science. Papers are sought that
contribute to the state of the art in symbolic modeling, either through
innovative applications, theoretical work on issues of generalization, size
and comprehensibility of the results produced, and algorithmic improvements
to make the techniques faster, more reliable and generally better controlled.

The workshop will be a half-day, with 60% talks, 40% brainstorming/panel discussion.
Each presentation will be a half an hour. To present, please submit 8 page papers
in PDF format, using the ACM style at http://www.sigevo.org/gecco-2009/papers.html, to
steven[dot]gustafson[at]research[dot]ge[dot]com. Please use a subject line of
"GECCO 2009 SRM Workshop" in the submission. Accepted papers will be published in
the GECCO Workshop Proceedings.


The audience is expected to consist of people from industry and academia, not
necessarily limited to an audience with an evolutionary computation background.

Wednesday, December 10, 2008

 

Welcome to the 2009 GECCO Symbolic Regression and Modeling Workshop

The workshop will focus on advances in using symbolic modeling for real world problems in industry, economics, finance and science. Papers are sought that contribute to the state of the art in symbolic modeling, either through innovative applications, theoretical work on issues of generalization, size and comprehensibility of the results produced, and algorithmic improvements to make the techniques faster, more reliable and generally better controlled.

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