On the existence of feature bundles and their effect on symbolic regression algorithms

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

@InProceedings{Neshatian:2017:SSCI,

• author = "Kourosh Neshatian and Lucianne Varn",
• booktitle = "2017 IEEE Symposium Series on Computational Intelligence (SSCI)",
• title = "On the existence of feature bundles and their effect on symbolic regression algorithms",
• year = "2017",
• abstract = "In this paper, we consider a special subset of the features in a regression learning problem that, while being relevant to the problem, its strict subsets do not show any sign of relevance. We discuss the presence of such subsets of features, which we call `feature bundles', and examine the challenges they pose in feature selection and learning. We demonstrate the effect of these feature bundles on the performance of commonly-used symbolic regression algorithms.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/SSCI.2017.8285419",
• month = nov,
• notes = "Also known as \cite{8285419}",

}

Genetic Programming entries for Kourosh Neshatian Lucianne Varn

Citations