Genetic programming as a feature selection algorithm
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{Suarez:2014:ROPEC,
-
author = "Ranyart R. Suarez and Jose Maria Valencia-Ramirez and
Mario Graff",
-
booktitle = "IEEE International Autumn Meeting on Power,
Electronics and Computing (ROPEC 2014)",
-
title = "Genetic programming as a feature selection algorithm",
-
year = "2014",
-
month = nov,
-
keywords = "genetic algorithms, genetic programming",
-
DOI = "doi:10.1109/ROPEC.2014.7036345",
-
size = "5 pages",
-
abstract = "Genetic Programming (GP) is an Evolutionary Algorithm
commonly used to evolve computer programs in order to
solve a particular task. Therefore, GP has been used to
tackle different problems like classification and
regression. In this work, the capabilities of GP in
other types of problems are explored, particularly the
feature selection problem. For this purpose, GP is
applied to a set of benchmark problems, and, then,
compared to other algorithms. The results obtained show
that GP is competitive against the other algorithms,
and in addition to this, no modifications are needed to
perform the feature extraction task.",
-
notes = "Also known as \cite{7036345}",
- }
Genetic Programming entries for
Ranyart Rodrigo Suarez
Jose Maria Valencia-Ramirez
Mario Graff Guerrero
Citations