A study on the use of imputation methods for experimentation with Radial Basis Function Network classifiers handling missing attribute values: The good synergy between RBFNs and EventCovering method.
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%0 Journal Article
%1 journals/nn/LuengoGH10
%A Luengo, Julián
%A García, Salvador
%A Herrera, Francisco
%D 2010
%J Neural Networks
%K dblp
%N 3
%P 406-418
%T A study on the use of imputation methods for experimentation with Radial Basis Function Network classifiers handling missing attribute values: The good synergy between RBFNs and EventCovering method.
%U http://dblp.uni-trier.de/db/journals/nn/nn23.html#LuengoGH10
%V 23
@article{journals/nn/LuengoGH10,
added-at = {2022-09-19T00:00:00.000+0200},
author = {Luengo, Julián and García, Salvador and Herrera, Francisco},
biburl = {https://www.bibsonomy.org/bibtex/24e1a357788da8cfff8073e2d0af7ea82/dblp},
ee = {https://www.wikidata.org/entity/Q44748588},
interhash = {9657de04ab2f6914fdd61cc62fab5156},
intrahash = {4e1a357788da8cfff8073e2d0af7ea82},
journal = {Neural Networks},
keywords = {dblp},
number = 3,
pages = {406-418},
timestamp = {2024-04-09T05:23:03.000+0200},
title = {A study on the use of imputation methods for experimentation with Radial Basis Function Network classifiers handling missing attribute values: The good synergy between RBFNs and EventCovering method.},
url = {http://dblp.uni-trier.de/db/journals/nn/nn23.html#LuengoGH10},
volume = 23,
year = 2010
}
