Inproceedings,
Symbolic Regression with augmented dataset using RuleFit.
F. de França.SYNASC, page 323-326. IEEE, (2022)
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- BibTeX key
- conf/synasc/Franca22a
- entry type
- inproceedings
- booktitle
- SYNASC
- year
- 2022
- pages
- 323-326
- publisher
- IEEE
- crossref
- conf/synasc/2022
- ee
- https://doi.org/10.1109/SYNASC57785.2022.00058
- isbn
- 978-1-6654-6545-8
- url
- http://dblp.uni-trier.de/db/conf/synasc/synasc2022.html#Franca22a
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- please select -%0 Conference Paper
%1 conf/synasc/Franca22a
%A de França, Fabrício Olivetti
%B SYNASC
%D 2022
%E Buchberger, Bruno
%E Marin, Mircea
%E Negru, Viorel
%E Zaharie, Daniela
%I IEEE
%K dblp
%P 323-326
%T Symbolic Regression with augmented dataset using RuleFit.
%U http://dblp.uni-trier.de/db/conf/synasc/synasc2022.html#Franca22a
%@ 978-1-6654-6545-8
@inproceedings{conf/synasc/Franca22a,
added-at = {2023-06-09T00:00:00.000+0200},
author = {de França, Fabrício Olivetti},
biburl = {https://www.bibsonomy.org/bibtex/2ca3b59f2a9f391ec9bf3984d4773a11a/dblp},
booktitle = {SYNASC},
crossref = {conf/synasc/2022},
editor = {Buchberger, Bruno and Marin, Mircea and Negru, Viorel and Zaharie, Daniela},
ee = {https://doi.org/10.1109/SYNASC57785.2022.00058},
interhash = {fa2225b0537079582263885da31ebcdb},
intrahash = {ca3b59f2a9f391ec9bf3984d4773a11a},
isbn = {978-1-6654-6545-8},
keywords = {dblp},
pages = {323-326},
publisher = {IEEE},
timestamp = {2024-04-09T23:42:19.000+0200},
title = {Symbolic Regression with augmented dataset using RuleFit.},
url = {http://dblp.uni-trier.de/db/conf/synasc/synasc2022.html#Franca22a},
year = 2022
}