Class-specific feature generation for 1NN through genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @InProceedings{Limon:2015:ROPEC,
-
author = "Mauricio Garcia Limon and Hugo Jair Escalante and
Eduardo Morales and Luis Villasenor Pineda",
-
booktitle = "2015 IEEE International Autumn Meeting on Power,
Electronics and Computing (ROPEC)",
-
title = "Class-specific feature generation for {1NN} through
genetic programming",
-
year = "2015",
-
abstract = "This paper introduces a genetic program for
class-specific feature extraction for 1NN. Under the
proposed method a new feature space is generated for
each class in the problem under analysis. Where feature
spaces are build by merging the initial features with a
genetic program that aims at maximizing classification
accuracy of a 1NN classifier. We compare the
performance of our method to both, classical-standard
techniques (e.g., PCA, LDA) and to solutions based on
evolutionary algorithms. Experimental results reveal
our method outperforms alternative solutions in a wide
variety of data sets.",
-
keywords = "genetic algorithms, genetic programming",
-
DOI = "doi:10.1109/ROPEC.2015.7395158",
-
month = nov,
-
notes = "Also known as \cite{7395158}",
- }
Genetic Programming entries for
Mauricio Garcia-Limon
Hugo Jair Escalante
Eduardo F Morales
Luis Villasenor Pineda
Citations