A study of model and hyper-parameter selection strategies for classifier ensembles: a robust analysis on different optimization algorithms and extended results.
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%0 Journal Article
%1 journals/nc/NetoJCO21
%A Neto, Antonino Feitosa
%A Junior, João Carlos Xavier
%A Canuto, Anne M. P.
%A Oliveira, Alexandre C. M.
%D 2021
%J Nat. Comput.
%K dblp
%N 4
%P 805-819
%T A study of model and hyper-parameter selection strategies for classifier ensembles: a robust analysis on different optimization algorithms and extended results.
%U http://dblp.uni-trier.de/db/journals/nc/nc20.html#NetoJCO21
%V 20
@article{journals/nc/NetoJCO21,
added-at = {2023-06-26T00:00:00.000+0200},
author = {Neto, Antonino Feitosa and Junior, João Carlos Xavier and Canuto, Anne M. P. and Oliveira, Alexandre C. M.},
biburl = {https://www.bibsonomy.org/bibtex/22738bc3a1d82a15079ff1546f58a2f29/dblp},
ee = {https://doi.org/10.1007/s11047-020-09816-0},
interhash = {72063ad6b88c080dad7e8c838a57ef71},
intrahash = {2738bc3a1d82a15079ff1546f58a2f29},
journal = {Nat. Comput.},
keywords = {dblp},
number = 4,
pages = {805-819},
timestamp = {2024-04-09T05:26:18.000+0200},
title = {A study of model and hyper-parameter selection strategies for classifier ensembles: a robust analysis on different optimization algorithms and extended results.},
url = {http://dblp.uni-trier.de/db/journals/nc/nc20.html#NetoJCO21},
volume = 20,
year = 2021
}
