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Interpretable Symbolic Regression for Data Science: Analysis of the 2022
  Competition

Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition

3 April 2023
F. O. França
M. Virgolin
M. Kommenda
M. Majumder
M. Cranmer
G. Espada
L. Ingelse
A. Fonseca
Mikel Landajuela
Brenden K. Petersen
Ruben Glatt
N. Mundhenk
C. S. Lee
J. D. Hochhalter
D. L. Randall
Pierre-Alexandre Kamienny
H. Zhang
Grant Dick
A. Simon
Bogdan Burlacu
Jaan Kasak
Meera Machado
Casper Wilstrup
William La Cava
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Papers citing "Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition"

2 / 2 papers shown
Title
Symbolic Regression for Beyond the Standard Model Physics
Symbolic Regression for Beyond the Standard Model Physics
Shehu AbdusSalam
Steve Abel
M. Romão
18
5
0
28 May 2024
Symbolic Regression is NP-hard
Symbolic Regression is NP-hard
M. Virgolin
S. Pissis
60
59
0
03 Jul 2022
1