A Generic Multi-dimensional Feature Extraction Method Using Multiobjective Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7906
- @Article{Zhang:2009:EC,
-
author = "Yang Zhang and Peter I. Rockett",
-
title = "A Generic Multi-dimensional Feature Extraction Method
Using Multiobjective Genetic Programming",
-
journal = "Evolutionary Computation",
-
year = "2009",
-
volume = "17",
-
number = "1",
-
pages = "89--115",
-
month = "Spring",
-
keywords = "genetic algorithms, genetic programming, MOGP, PCA",
-
ISSN = "1063-6560",
-
DOI = "doi:10.1162/evco.2009.17.1.89",
-
abstract = "In this paper, we present a generic feature extraction
method for pattern classification using multi-objective
genetic programming. This not only evolves the
(near-)optimal set of mappings from a pattern space to
a multi-dimensional decision space, but also
simultaneously optimizes the dimensionality of that
decision space. The presented framework evolves
vector-to-vector feature extractors that maximize class
separability. We demonstrate the efficacy of our
approach by making statistically-founded comparisons
with a wide variety of established classifier paradigms
over a range of datasets and find that for most of the
pairwise comparisons, our evolutionary method delivers
statistically smaller misclassification errors. At very
worst, our method displays no statistical difference in
a few pairwise comparisons with established
classifier/dataset combinations; crucially, none of the
misclassification results produced by our method is
worse than any comparator classifier. Although
principally focused on feature extraction, feature
selection is also performed as an implicit side effect;
we show that both feature extraction and selection are
important to the success of our technique. The
presented method has the practical consequence of
obviating the need to exhaustively evaluate a large
family of conventional classifiers when faced with a
new pattern recognition problem in order to attain a
good classification accuracy.",
-
notes = "WEKA, UCI. See also \cite{10.1.1.99.3617}",
- }
Genetic Programming entries for
Yang Zhang
Peter I Rockett
Citations