Class-specific feature generation for 1NN through genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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